955 results on '"Wu Jie"'
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2. Correlation Between Benign Prostatic Hyperplasia/Lower Urinary Tract Symptoms and Renal Function in Elderly Men Aged 80 Years and Older
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Wang,Qian, Zhang,Bin, Li,Bing, Yang,Shengnan, Wang,Zhifang, Han,Chao, Wu,Jie, and Tian,Rui
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Clinical Interventions in Aging ,General Medicine ,Geriatrics and Gerontology - Abstract
Qian Wang,1,* Bin Zhang,1,* Bing Li,1 Shengnan Yang,1 Zhifang Wang,2 Chao Han,3 Jie Wu,4 Rui Tian1 1The Second Division of General Geriatrics, Department of Geriatrics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, Peopleâs Republic of China; 2Division of Endocrinology, Department of Medicine, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, Peopleâs Republic of China; 3Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, Peopleâs Republic of China; 4Division of Ultrasound, Department of Medical Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Qian Wang; Rui Tian, The Second Division of General Geriatrics, Department of Geriatrics, the First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, Peopleâs Republic of China, Tel +8615838328873, Fax +8637166295183, Email qiansmile320@163.com; tianruiyfy@sina.comPurpose: To investigate the relationship between benign prostatic hyperplasia (BPH)/lower urinary tract symptoms (LUTS) and renal function in elderly men aged 80 years and older.Patients and Methods: We selected 389 elderly men aged 80â 97 years with BPH/LUTS hospitalized at The Second Division of General Geriatrics, The First Affiliated Hospital of Zhengzhou University, between July 2018 and July 2020. In the cross-sectional study, patients were divided into the treatment (233 patients) and non-treatment (156 patients) groups based on whether they received treatment for BPH/LUTS. In the prospective self-case-control study, we included 129 of the non-treatment group patients who received oral BPH/LUTS medication and completed the 6-month outpatient follow-up. We compared prostate indicators and renal function in the cross-sectional study and baseline and after-treatment data in the prospective self-case-control study. Multiple linear regression analysis was performed for risk factors affecting renal function before and after BPH/LUTS treatment.Results: In the cross-sectional study, renal function was significantly better in the treatment group than in the non-treatment group. In the subgroup analysis of the prospective self-case-control study, renal function significantly improved after treatment among patients with hypertension and those with chronic kidney disease (CKD) 3a, but not in the entire cohort. Multivariable linear regression analysis showed that hypertension (β=2.06, 95% CI 0.40 to 3.71) and CKD 3a (β=17.16, 95% CI 15.53 to 18.79) were independent risk factors for creatinine differences before and after treatment, whereas hypertension (β=â 2.27, 95% CI â 3.65 to â 0.89), CKD 3a (β=â 11.93, 95% CI â 13.29 to â 10.58), and baseline prostate volume (β=â 0.11, 95% CI â 0.20 to â 0.02) were independent risk factors for estimated glomerular filtration rate differences before and after treatment.Conclusion: Treatment for moderate and severe BPH/LUTS can improve renal function in elderly patients with hypertension or CKD 3a.Keywords: benign prostatic hyperplasia, lower urinary tract symptoms, renal function, elderly men, drug therapy
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- 2023
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3. Bubble migration characteristics in power transformer oil under coupled stresses of forced vibration and electrical field
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Niyomugabo Emmanuel Ladislas, Qingmin Li, Qiushi Liu, Wu Jie, and Huang Weimin
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Electrical and Electronic Engineering ,Atomic and Molecular Physics, and Optics - Published
- 2022
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4. Metal organophosphates: electronic structure tuning from inert materials to universal alkali-metal-ion battery cathodes
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Wu-Jie Dong, Jia-Bo Le, Yan Jin, Guo-Qing Zhang, Bin Ye, Peng Qin, and Fu-Qiang Huang
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Materials Chemistry ,Metals and Alloys ,Physical and Theoretical Chemistry ,Condensed Matter Physics - Published
- 2022
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5. AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
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Li, Ming, Wu, Jie, Wang, Xionghui, Chen, Chen, Qin, Jie, Xiao, Xuefeng, Wang, Rui, Zheng, Min, and Pan, Xin
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,Artificial Intelligence (cs.AI) ,Computer Science - Artificial Intelligence ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition ,Machine Learning (cs.LG) - Abstract
The paradigm of large-scale pre-training followed by downstream fine-tuning has been widely employed in various object detection algorithms. In this paper, we reveal discrepancies in data, model, and task between the pre-training and fine-tuning procedure in existing practices, which implicitly limit the detector's performance, generalization ability, and convergence speed. To this end, we propose AlignDet, a unified pre-training framework that can be adapted to various existing detectors to alleviate the discrepancies. AlignDet decouples the pre-training process into two stages, i.e., image-domain and box-domain pre-training. The image-domain pre-training optimizes the detection backbone to capture holistic visual abstraction, and box-domain pre-training learns instance-level semantics and task-aware concepts to initialize the parts out of the backbone. By incorporating the self-supervised pre-trained backbones, we can pre-train all modules for various detectors in an unsupervised paradigm. As depicted in Figure 1, extensive experiments demonstrate that AlignDet can achieve significant improvements across diverse protocols, such as detection algorithm, model backbone, data setting, and training schedule. For example, AlignDet improves FCOS by 5.3 mAP, RetinaNet by 2.1 mAP, Faster R-CNN by 3.3 mAP, and DETR by 2.3 mAP under fewer epochs., Accepted by ICCV 2023. Code and Models are publicly available. Project Page: https://liming-ai.github.io/AlignDet
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- 2023
6. Spatiotemporal variations of cropland carbon sequestration and water loss across China
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Jiang, Shouzheng, Wu, Jie, Wang, Zhihui, He, Ziling, Wang, Mingjun, Yao, Weiwei, Feng, Yu, School of Mathematics, State Key Laboratory of Hydraulics and Mountain River Engineering, Chengdu University of Technology (CDUT), Southern University of Science and Technology (SUSTech), Department of Geosciences and Natural Resource Management [Copenhagen] (IGN), Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
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[SDU]Sciences of the Universe [physics] ,Water use efficiency Water and carbon exchange Non-paddy field Paddy field MODIS data - Abstract
Croplands play a critical role in regulating terrestrial water and carbon cycles and provide essential social services for humans. Investigating the characteristics of water and carbon flux in cropland ecosystems offers valuable information for advancing sustainable agriculture management. Combining the up-to-date Moderate Resolution Imaging Spectroradiometer and cropland distribution data, this study quantified the temporal-spatial variations of evapotranspiration (ET), gross primary productivity (GPP), and ecosystem-scale water use efficiency (WUE) in paddy (PF) and non-paddy field (NPF) over China from 2000 to 2021. The results showed that annual ET in both PF and NPF presented an increasing trend from northwest to southeast of China, with mean annual ET totaling 625 ± 43 mm yr − 1 and 487 ± 45 mm yr − 1 in PF and NPF, respectively. The Sen's slope showed that annual ET presented significantly increasing trends (p < 0.01), with a rate of 66.7 +10.9 − 12.2 mm yr − 1 decade − 1 in NPF and 59.8 +16.6 − 14.9 mm yr − 1 decade − 1 in PF. The magnitudes of the increase in annual ET mainly came from the ET increase in summer, with the quantified contribution rates of 38.4 % in PF and 50.74 % in NPF. The spatial variations of cropland annual GPP agreed well with that of annual ET. The mean annual GPP in PF and NPF was estimated at 1029 ± 57 gC m − 2 yr − 1 and 776 ± 67 gC m − 2 yr − 1 from 2000 to 2021, respectively, along with its significantly increasing trend at 84.0 +15.9 − 14.2 gC m − 2 decade − 1 and 96.3 +14.2 − 9.7 gC m − 2 decade − 1 (p < 0.01) in PF and NPF during this period, respectively. The increase in spring GPP mainly contributed to the increasing annual GPP in PF. In contrast, the rising GPP in spring and summer primarily resulted in the increasing annual GPP in NPF. The mean annual WUE is 1.65 ± 0.05 gC m − 2 kg − 1 H 2 O in PF and 1.59 ± 0.03 gC m − 2 kg − 1 H 2 O in NPF, respectively. The investigations of the variations of WUE demonstrated that both PF and NPF experienced negative trends in China, but the trends were not uniform, and disparities existed across the sub-agricultural districts. The quantified spatial and temporal patterns of how croplands trade water for carbon will help better manage agricultural water resources and ensure food security.
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- 2023
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7. A sufficient condition for the existence of fractional $(g,f,n)$-critical covered graphs
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Wu, Jie
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FOS: Mathematics ,Mathematics - Combinatorics ,Combinatorics (math.CO) - Abstract
In data transmission networks, the availability of data transmission is equivalent to the existence of the fractional factor of the corresponding graph which is generated by the network. Research on the existence of fractional factors under specific network structures can help scientists design and construct networks with high data transmission rates. A graph $G$ is called a fractional $(g,f)$-covered graph if for any $e\in E(G)$, $G$ admits a fractional $(g,f)$-factor covering $e$. A graph $G$ is called a fractional $(g,f,n)$-critical covered graph if after removing any $n$ vertices of $G$, the resulting graph of $G$ is a fractional $(g,f)$-covered graph. In this paper, we verify that if a graph $G$ of order $p$ satisfies $p\geq\frac{(a+b-1)(a+b-2)+(a+d)n+1}{a+d}$, $\delta(G)\geq\frac{(b-d-1)p+(a+d)n+a+b+1}{a+b-1}$ and $\delta(G)>\frac{(b-d-2)p+2\alpha(G)+(a+d)n+1}{a+b-2}$, then $G$ is a fractional $(g,f,n)$-critical covered graph, where $g,f:V(G)\rightarrow Z^{+}$ be two functions such that $a\leq g(x)\leq f(x)-d\leq b-d$ for all $x\in V(G)$, which is a generalization of Zhou's previous result [S. Zhou, Some new sufficient conditions for graphs to have fractional $k$-factors, International Journal of Computer Mathematics 88(3)(2011)484--490]., Comment: 10
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- 2023
8. Evidence for the decays $B^{0}\rightarrow\bar{D}^{(*)0}\phi$ and updated measurements of the branching fractions of the $B^{0}_{s}\rightarrow\bar{D}^{(*)0}\phi$ decays
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Aaij, Roel, Abdelmotteleb, Ahmed Sameh Wagih, Abellan Beteta, Carlos, Abudinén, Fernando Jesus, Ackernley, Thomas, Adeva, Bernardo, Adinolfi, Marco, Adlarson, Patrik Harri, Afsharnia, Hossein, Agapopoulou, Christina, Aidala, Christine Angela, Ajaltouni, Ziad, Akar, Simon, Akiba, Kazuyoshi, Albicocco, Pietro, Albrecht, Johannes, Alessio, Federico, Alexander, Michael, Alfonso Albero, Alejandro, Aliouche, Zakariya, Alvarez Cartelle, Paula, Amalric, Renaud, Amato, Sandra, Amey, Jake Lewis, Amhis, Yasmine, An, Liupan, Anderlini, Lucio, Andersson, Martin, Andreianov, Aleksei, Andreotti, Mirco, Andreou, Dimitra, Ao, Dong, Archilli, Flavio, Artamonov, Alexander, Artuso, Marina, Aslanides, Elie, Atzeni, Michele, Audurier, Benjamin, Bachiller Perea, Irene, Bachmann, Sebastian, Bachmayer, Marie, Back, John, Bailly-Reyre, Aurelien, Baladron Rodriguez, Pablo, Balagura, Vladislav, Baldini, Wander, Baptista de Souza Leite, Juan, Barbetti, Matteo, Barbosa, Ivanildo Rui, Barlow, Roger, Barsuk, Sergey, Barter, William, Bartolini, Matteo, Baryshnikov, Fedor, Basels, Jan-Marc, Bassi, Giovanni, Batsukh, Baasansuren, Battig, Alexander, Bay, Aurelio, Beck, Anja, Becker, Maik, Bedeschi, Franco, Bediaga, Ignacio, Beiter, Andrew, Belin, Samuel, Bellee, Violaine, Belous, Konstantin, Belov, Ilia, Belyaev, Ivan, Benane, Gaya, Bencivenni, Giovanni, Ben-Haim, Eli, Berezhnoy, Alexander, Bernet, Roland, Bernet Andres, Sergi, Berninghoff, Daniel, Bernstein, Harris Conan, Bertella, Claudia, Bertolin, Alessandro, Betancourt, Christopher, Betti, Federico, Bezshyiko, Iaroslava, Bhom, Jihyun, Bian, Lingzhu, Bieker, Martin Stefan, Biesuz, Nicolo Vladi, Billoir, Pierre, Biolchini, Alice, Birch, Matthew, Bishop, Fionn Caitlin Ros, Bitadze, Alexander, Bizzeti, Andrea, Blago, Michele Piero, Blake, Thomas, Blanc, Frederic, Blank, Jonah Evan, Blusk, Steven, Bobulska, Dana, Bocharnikov, Vladimir, Boelhauve, Julian Alexander, Boente Garcia, Oscar, Boettcher, Thomas, Boldyrev, Alexey, Bolognani, Carolina, Bolzonella, Riccardo, Bondar, Nikolay, Borgato, Federica, Borghi, Silvia, Borsato, Martino, Borsuk, Jozef Tomasz, Bouchiba, Sonia Amina, Bowcock, Themistocles, Boyer, Alexandre, Bozzi, Concezio, Bradley, Matthew John, Braun, Svende, Brea Rodriguez, Alexandre, Breer, Nils, Brodzicka, Jolanta, Brossa Gonzalo, Arnau, Brown, James David, Brundu, Davide, Buonaura, Annarita, Buonincontri, Laura, Burke, Aodhan Tomas, Burr, Christopher, Bursche, Albert, Butkevich, Anatoly, Butter, Jordy Sebastiaan, Buytaert, Jan, Byczynski, Wiktor, Cadeddu, Sandro, Cai, Hao, Calabrese, Roberto, Calefice, Lukas, Cali, Stefano, Calvi, Marta, Calvo Gomez, Miriam, Campana, Pierluigi, Campora Perez, Daniel Hugo, Campoverde Quezada, Angel Fernando, Capelli, Simone, Capriotti, Lorenzo, Carbone, Angelo, Cardinale, Roberta, Cardini, Alessandro, Carniti, Paolo, Carus, Leon David, Casais Vidal, Adrian, Caspary, Rowina, Casse, Gianluigi, Cattaneo, Marco, Cavallero, Giovanni, Cavallini, Viola, Celani, Sara, Cerasoli, Jacopo, Cervenkov, Daniel, Chadwick, Abbie Jane, Chahrour, Ibrahim, Chapman, Matthew George, Charles, Matthew, Charpentier, Philippe, Chavez Barajas, Carlos Alberto, Chefdeville, Maximilien, Chen, Chen, Chen, Shanzhen, Chernov, Aleksei, Chernyshenko, Serhii, Chobanova, Veronika, Cholak, Serhii, Chrzaszcz, Marcin, Chubykin, Aleksei, Chulikov, Vladimir, Ciambrone, Paolo, Cicala, Maria Flavia, Cid Vidal, Xabier, Ciezarek, Gregory, Cifra, Pierfrancesco, Ciullo, Giuseppe, Clarke, Peter, Clemencic, Marco, Cliff, Harry, Closier, Joel, Cobbledick, John Leslie, Coco, Victor, Cogan, Julien, Cogneras, Eric, Cojocariu, Lucian, Collins, Paula, Colombo, Tommaso, Congedo, Liliana, Contu, Andrea, Cooke, Naomi, Corredoira, Imanol, Corti, Gloria, Couturier, Benjamin, Craik, Daniel Charles, Cruz Torres, Melissa Maria, Currie, Robert, da Silva, Cesar Luiz, Dadabaev, Shakhzod, Dai, Lingyun, Dai, Xinchen, Dall'Occo, Elena, Dalseno, Jeremy, d'Ambrosio, Carmelo, Daniel, Jessy, Danilina, Anna, d'Argent, Philippe, Davies, Jonathan Edward, Davis, Adam, de Aguiar Francisco, Oscar, de Boer, Jan, de Bruyn, Kristof, de Capua, Stefano, de Cian, Michel, de Freitas Carneiro da Graca, Ulisses, de Lucia, Erika, de Miranda, Jussara, de Paula, Leandro, de Serio, Marilisa, de Simone, Dario, de Simone, Patrizia, de Vellis, Fabio, de Vries, Jacco, Dean, Cameron Thomas, Debernardis, Francesco, Decamp, Daniel, Dedu, Vlad-George, del Buono, Luigi, Delaney, Blaise, Dembinski, Hans Peter, Denysenko, Vadym, Deschamps, Olivier, Dettori, Francesco, Dey, Biplab, Di Nezza, Pasquale, Diachkov, Igor, Didenko, Sergey, Dieste Maronas, Lorena, Ding, Shuchong, Dobishuk, Vasyl, Dolmatov, Aleksandr, Dong, Chenzhi, Donohoe, Amanda May, Dordei, Francesca, dos Reis, Alberto, Douglas, Lauren, Downes, Anthony Gavin, Duda, Piotr Jakub, Dudek, Maciej Wojciech, Dufour, Laurent, Duk, Viacheslav, Durante, Paolo, Duras, Maciej, Durham, John Matthew, Dutta, Deepanwita, Dziurda, Agnieszka, Dzyuba, Alexey, Easo, Sajan, Egede, Ulrik, Egorychev, Artem, Egorychev, Victor, Eirea Orro, Caetano, Eisenhardt, Stephan, Ejopu, Enoch, Ek-In, Surapat, Eklund, Lars, Elashri, Mohamed, Ellbracht, Jan Hendrik, Ely, Scott, Ene, Alexandru, Epple, Eliane, Escher, Stephan, Eschle, Jonas Nathanael, Esen, Sevda, Evans, Timothy, Fabiano, Federica, Falcao, Lucas, Fan, Yanting, Fang, Bo, Fantini, Lisa, Faria, Maria, Farry, Stephen, Fazzini, Davide, Felkowski, Lukasz Jerzy, Feo, Mauricio, Fernandez Gomez, Miguel, Fernez, Alex Daniel, Ferrari, Fabio, Ferreira Lopes, Lino, Ferreira Rodrigues, Fernando, Ferreres Sole, Silvia, Ferrillo, Martina, Ferro-Luzzi, Massimiliano, Filippov, Sergey, Fini, Rosa Anna, Fiorini, Massimiliano, Firlej, Miroslaw, Fischer, Kamil Leszek, Fitzgerald, Dillon Scott, Fitzpatrick, Conor, Fiutowski, Tomasz, Fleuret, Frederic, Fontana, Marianna, Fontanelli, Flavio, Forty, Roger, Foulds-Holt, Daniel, Franco Lima, Vinicius, Franco Sevilla, Manuel, Frank, Markus, Franzoso, Edoardo, Frau, Giulia, Frei, Christoph, Friday, David Anthony, Frontini, Luca, Fu, Jinlin, Fuehring, Quentin, Fulghesu, Tommaso, Gabriel, Emmy, Galati, Giuliana, Galati, Maria Domenica, Gallas Torreira, Abraham, Galli, Domenico, Gambetta, Silvia, Gandelman, Miriam, Gandini, Paolo, Gao, Han, Gao, Rui, Gao, Yang, Gao, Yuanning, Garau, Michela, Garcia Martin, Luis Miguel, Garcia Moreno, Paula, García Pardiñas, Julián, Garcia Plana, Beatriz, Garcia Rosales, Felipe Andres, Garrido, Lluis, Gaspar, Clara, Geertsema, Robbert Erik, Gerick, David, Gerken, Louis Lenard, Gersabeck, Evelina, Gersabeck, Marco, Gershon, Timothy, Giambastiani, Luca, Gibson, Valerie, Giemza, Henryk Karol, Gilman, Alexander Leon, Giovannetti, Matteo, Gioventù, Alessandra, Gironella Gironell, Pere, Giugliano, Carmen, Giza, Maciej Artur, Gizdov, Konstantin, Gkougkousis, Evangelos Leonidas, Gligorov, Vladimir, Göbel, Carla, Golobardes, Elisabet, Golubkov, Dmitry, Golutvin, Andrey, Gomes, Alvaro, Gomez Fernandez, Sergio, Goncalves Abrantes, Fernanda, Goncerz, Mateusz, Gong, Guanghua, Gorelov, Igor Vladimirovich, Gotti, Claudio, Grabowski, Jascha Peter, Grammatico, Thomas, Granado Cardoso, Luis Alberto, Graugés, Eugeni, Graverini, Elena, Graziani, Giacomo, Grecu, Alexandru Tudor, Greeven, Lex Marinus, Grieser, Nathan Allen, Grillo, Lucia, Gromov, Sergey, Gu, Chenxi, Guarise, Marco, Guittiere, Manuel, Guliaeva, Vasilisa, Günther, Paul Andre, Guseinov, Abdul-Kerim, Gushchin, Evgeny, Guz, Yury, Gys, Thierry, Hadavizadeh, Thomas, Hadjivasiliou, Christos, Haefeli, Guido, Haen, Christophe, Haimberger, Jakob, Haines, Susan, Halewood-Leagas, Tabitha, Halvorsen, Marius Maehlum, Hamilton, Phoebe Meredith, Hammerich, Jan, Han, Qundong, Han, Xiaoxue, Hansmann-Menzemer, Stephanie, Hao, Lei, Harnew, Neville, Harrison, Thomas, Hasse, Christoph, Hatch, Mark, He, Jibo, Heijhoff, Kevin, Hemmer, Frederic, Henderson, Conor, Henderson, Riley Dylan Leslie, Hennequin, Arthur Marius, Hennessy, Karol, Henry, Louis, Herd, James Daniel, Heuel, Johannes, Hicheur, Adlène, Hill, Donal, Hilton, Martha, Hollitt, Sophie, Horswill, Joshua Ethan, Hou, Ruiwen, Hou, Yingrui, Hu, Jiangqiao, Hu, Jifeng, Hu, Wenhua, Hu, Xiaofan, Huang, Wenqian, Huang, Xiaotao, Hulsbergen, Wouter, Hunter, Ross John, Hushchyn, Mikhail, Hutchcroft, David, Ibis, Philipp, Idzik, Marek, Ilin, Dmitrii, Ilten, Philip, Inglessi, Alexander, Iniukhin, Aleksandr, Ishteev, Artur, Ivshin, Kuzma, Jacobsson, Richard, Jage, Hendrik, Jaimes Elles, Sergio Javier, Jakobsen, Sune, Jans, Eddy, Jashal, Brij Kishor, Jawahery, Abolhassan, Jevtic, Vukan, Jiang, Emily Kaiyin, Jiang, Xiaojie, Jiang, Yi, John, Malcolm, Johnson, Daniel, Jones, Christopher, Jones, Thomas Peter, Joshi, Salil, Jost, Beat, Jurik, Nathan, Juszczak, Izabela, Kandybei, Sergii, Kang, Youen, Karacson, Matthias, Karpenkov, Dmitrii, Karpov, Maksim, Kautz, Jacob William, Keizer, Floris, Keller, Dustin Michael, Kenzie, Matthew, Ketel, Tjeerd, Khanji, Basem, Kharisova, Anastasiia, Kholodenko, Sergei, Khreich, Gaelle, Kirn, Thomas, Kirsebom, Veronica Soelund, Kitouni, Ouail, Klaver, Suzanne, Kleijne, Nico, Klimaszewski, Konrad, Kmiec, Mateusz Rafal, Koliiev, Serhii, Kolk, Lars, Kondybayeva, Almagul, Konoplyannikov, Anatoly, Kopciewicz, Pawel, Kopecna, Renata, Koppenburg, Patrick, Korolev, Mikhail, Kostiuk, Igor, Kot, Oleksander, Kotriakhova, Sofia, Kozachuk, Anastasiia, Kravchenko, Polina, Kravchuk, Leonid, Kreps, Michal, Kretzschmar, Sophie Katharina, Krokovny, Pavel, Krupa, Wojciech, Krzemien, Wojciech, Kubat, Jakub, Kubis, Sebastian Antoni, Kucewicz, Wojciech, Kucharczyk, Marcin, Kudryavtsev, Vasily, Kulikova, Evgenia, Kupsc, Andrzej, Lacarrere, Daniel, Lafferty, George, Lai, Adriano, Lampis, Andrea, Lancierini, Davide, Landesa Gomez, Clara, Lane, John Jake, Lane, Richard, Langenbruch, Christoph, Langer, Jan, Lantwin, Oliver, Latham, Thomas, Lazzari, Federico, Lazzeroni, Cristina, Le Gac, Renaud, Lee, Sook Hyun, Lefèvre, Regis, Leflat, Alexander, Legotin, Sergey, Lenisa, Paolo, Leroy, Olivier, Lesiak, Tadeusz, Leverington, Blake, Li, Anfeng, Li, Hengne, Li, Kechen, Li, Peilian, Li, Pei-Rong, Li, Shiyang, Li, Tiange, Li, Tianqi, Li, Yiming, Li, Zhuoming, Lian, Zhengchen, Liang, Xixin, Lin, Chuangxin, Lin, Tai-Hua, Lindner, Rolf, Lisovskyi, Vitalii, Litvinov, Roman, Liu, Guoming, Liu, Huanhuan, Liu, Kai, Liu, Qian, Liu, Shuaiyi, Lobo Salvia, Aniol, Loi, Angelo, Lollini, Riccardo, Lomba Castro, Julian, Longstaff, Iain, Lopes, Jose, Lopez Huertas, Albert, López Soliño, Saúl, Lovell, George Holger, Lu, Yu, Lucarelli, Chiara, Lucchesi, Donatella, Luchuk, Stanislav, Lucio Martinez, Miriam, Lukashenko, Valeriia, Luo, Yiheng, Lupato, Anna, Luppi, Eleonora, Lynch, Kate, Lyu, Xiao-Rui, Ma, Ruiting, Maccolini, Serena, Machefert, Frederic, Maciuc, Florin, Mackay, Innes, Macko, Vladimir, Madhan Mohan, Lakshan Ram, Maevskiy, Artem, Maisuzenko, Dmitrii, Majewski, Maciej Witold, Malczewski, Jakub Jacek, Malde, Sneha, Malecki, Bartosz, Malinin, Alexander, Maltsev, Timofei, Manca, Giulia, Mancinelli, Giampiero, Mancuso, Chiara, Manera Escalero, Rafel, Manuzzi, Daniele, Manzari, Claudio Andrea, Marangotto, Daniele, Marchand, Jean François, Marconi, Umberto, Mariani, Saverio, Marin Benito, Carla, Marks, Jörg, Marshall, Alexander Mclean, Marshall, Phillip John, Martelli, Gabriele, Martellotti, Giuseppe, Martinazzoli, Loris, Martinelli, Maurizio, Martinez Santos, Diego, Martinez Vidal, Fernando, Massafferri, André, Materok, Marcel, Matev, Rosen, Mathad, Abhijit, Matiunin, Viacheslav, Matteuzzi, Clara, Mattioli, Kara Renee, Mauri, Andrea, Maurice, Emilie, Mauricio, Joan, Mazurek, Michal, Mccann, Michael, Mcconnell, Lucas, Mcgrath, Tamaki Holly, Mchugh, Niall Thomas, Mcnab, Andrew, Mcnulty, Ronan, Meadows, Brian, Meier, Gerwin, Melnychuk, Dmytro, Meloni, Simone, Merk, Marcel, Merli, Andrea, Meyer Garcia, Lucas, Miao, Dexing, Miao, Han, Mikhasenko, Mikhail, Milanes, Diego Alejandro, Milovanovic, Marko, Minard, Marie-Noelle, Minotti, Alessandro, Minucci, Elisa, Miralles, Tristan, Mitchell, Sara Elizabeth, Mitreska, Biljana, Mitzel, Dominik Stefan, Modak, Atanu, Mödden, Antje, Mohammed, Rizwaan Adeeb, Moise, Razvan-Daniel, Mokhnenko, Sergei, Mombächer, Titus, Monk, Matthew David, Monroy, Igancio Alberto, Monteil, Stephane, Morello, Gianfranco, Morello, Michael Joseph, Morgenthaler, Maurice Pierre, Moron, Jakub, Morris, Adam Benjamin, Morris, Andrew George, Mountain, Raymond, Mu, Hongjie, Muhammad, Emir, Muheim, Franz, Mulder, Mick, Müller, Katharina, Murray, Donal, Murta, Rebecca, Muzzetto, Piera, Naik, Paras, Nakada, Tatsuya, Nandakumar, Raja, Nanut, Tara, Nasteva, Irina, Needham, Matthew, Neri, Nicola, Neubert, Sebastian, Neufeld, Niko, Neustroev, Petr, Newcombe, Ryan, Nicolini, Janina, Nicotra, Davide, Niel, Elisabeth Maria, Nieswand, Simon, Nikitin, Nikolay, Nolte, Niklas Stefan, Normand, Camille, Novoa Fernandez, Julio, Nowak, Gabriel Matthew, Nunez, Cynthia, Oblakowska-Mucha, Agnieszka, Obraztsov, Vladimir, Oeser, Thomas, Okamura, Shinichi, Oldeman, Rudolf, Oliva, Federica, Olocco, Micol, Onderwater, Gerco, O'Neil, Ryunosuke Hugo, Otalora Goicochea, Juan Martin, Ovsiannikova, Tatiana, Owen, Patrick, Oyanguren, Maria Aranzazu, Ozcelik, Ozlem, Padeken, Klaas Ole, Pagare, Bhagyashree, Pais, Preema Rennee, Pajero, Tommaso, Palano, Antimo, Palutan, Matteo, Panshin, Gennady, Paolucci, Lorenzo, Papanestis, Antonios, Pappagallo, Marco, Pappalardo, Luciano, Pappenheimer, Cheryl, Parker, William, Parkes, Christopher, Passalacqua, Barbara, Passaleva, Giovanni, Pastore, Alessandra, Patel, Mitesh, Patrignani, Claudia, Pawley, Christopher James, Pellegrino, Antonio, Pepe Altarelli, Monica, Perazzini, Stefano, Pereima, Dmitrii, Pereiro Castro, Asier, Perret, Pascal, Petridis, Konstantinos, Petrolini, Alessandro, Petrucci, Stefano, Petruzzo, Marco, Pham, Hang, Philippov, Anton, Piandani, Roberto, Pica, Lorenzo, Piccini, Mauro, Pietrzyk, Boleslaw, Pietrzyk, Guillaume, Pinci, Davide, Pisani, Flavio, Pizzichemi, Marco, Placinta, Vlad-Mihai, Plews, Jonathan, Plo Casasus, Maximo, Polci, Francesco, Poli Lener, Marco, Poluektov, Anton, Polukhina, Natalia, Polyakov, Ivan, Polycarpo, Erica, Ponce, Sebastien, Popov, Dmitry, Poslavskii, Stanislav, Prasanth, Kodassery, Promberger, Laura, Prouve, Claire, Pugatch, Valery, Puill, Veronique, Punzi, Giovanni, Qi, Hongrong, Qian, Wenbin, Qin, Ning, Qu, Sanqiang, Quagliani, Renato, Raab, Naomi Veronika, Rachwal, Bartlomiej, Rademacker, Jonas, Rajagopalan, Rohan, Rama, Matteo, Ramos Pernas, Miguel, Rangel, Murilo, Ratnikov, Fedor, Raven, Gerhard, Rebollo de Miguel, Miguel, Redi, Federico, Reich, Jake, Reiss, Florian, Ren, Zan, Resmi, P.K, Ribatti, Roberto, Ricci, Alessandro Maria, Ricciardi, Stefania, Richardson, Kate Abigail, Richardson-Slipper, Mary, Rinnert, Kurt, Robbe, Patrick, Robertson, Gary, Rodrigues, Eduardo, Rodriguez Fernandez, Emilio Xose, Rodriguez Lopez, Jairo Alexis, Rodriguez Rodriguez, Efren, Rolf, David Leonhard, Rollings, Alexandra Paige, Roloff, Philipp, Romanovskiy, Vladimir, Romero Lamas, Marcos, Romero Vidal, Antonio, Rotondo, Marcello, Rudolph, Matthew Scott, Ruf, Thomas, Ruiz Fernandez, Ramon Angel, Ruiz Vidal, Joan, Ryzhikov, Artem, Ryzka, Jakub, Saborido Silva, Juan Jose, Sagidova, Naylya, Sahoo, Niladribihari, Saitta, Biagio, Salomoni, Matteo, Sanchez Gras, Cristina, Sanderswood, Izaac, Santacesaria, Roberta, Santamarina Rios, Cibran, Santimaria, Marco, Santoro, Leonardo, Santovetti, Emanuele, Saranin, Danila, Sarpis, Gediminas, Sarpis, Mindaugas, Sarti, Alessio, Satriano, Celestina, Satta, Alessia, Saur, Miroslav, Savrina, Darya, Sazak, Halime, Scantlebury Smead, Luke George, Scarabotto, Alessandro, Schael, Stefan, Scherl, Sigrid, Schertz, Amy Marie, Schiller, Manuel, Schindler, Heinrich, Schmelling, Michael, Schmidt, Burkhard, Schmitt, Sebastian, Schneider, Olivier, Schopper, Andreas, Schubiger, Maxime, Schulte, Nicole, Schulte, Sebastian, Schune, Marie Helene, Schwemmer, Rainer, Schwering, Georg, Sciascia, Barbara, Sciuccati, Augusto, Sellam, Sara, Semennikov, Alexander, Senghi Soares, Mara, Sergi, Antonino, Serra, Nicola, Sestini, Lorenzo, Seuthe, Alex, Shang, Yiduo, Shangase, Desmond Mzamo, Shapkin, Mikhail, Shchemerov, Ivan, Shchutska, Lesya, Shears, Tara, Shekhtman, Lev, Shen, Zhihong, Sheng, Shuqi, Shevchenko, Vladimir, Shi, Boan, Shields, Edward Brendan, Shimizu, Yuya, Shmanin, Evgenii, Shorkin, Roman, Shupperd, Joseph David, Siddi, Benedetto Gianluca, Silva Coutinho, Rafael, Simi, Gabriele, Simone, Saverio, Singla, Minni, Skidmore, Nicola, Skuza, Raphael, Skwarnicki, Tomasz, Slater, Mark, Smallwood, Jennifer Clare, Smeaton, John Gordon, Smith, Eluned, Smith, Krista Lizbeth, Smith, Mark, Snoch, Aleksandra, Soares Lavra, Lais, Sokoloff, Michael, Soler, Paul, Solomin, Anatoly, Solovev, Aleksandr, Solovyev, Ivan, Song, Rongrong, Souza de Almeida, Felipe Luan, Souza de Paula, Bruno, Spadaro Norella, Elisabetta, Spedicato, Eugenia, Speer, Jannis Guido, Spiridenkov, Eduard, Spradlin, Patrick, Sriskaran, Viros, Stagni, Federico, Stahl, Marian, Stahl, Sascha, Stanislaus, Seophine, Stein, Eloise Noelle, Steinkamp, Olaf, Stenyakin, Oleg, Stevens, Holger, Strekalina, Daria, Su, Yangjie, Suljik, Fidan, Sun, Jiayin, Sun, Liang, Sun, Yipeng, Swallow, Paul Nathaniel, Swientek, Krzysztof, Szabelski, Adam, Szumlak, Tomasz, Szymanski, Maciej Pawel, Tan, Yinghua, Taneja, Shantam, Tat, Martin Duy, Terentev, Aleksandr, Teubert, Frederic, Thomas, Eric, Thompson, Daniel James David, Tilquin, Hanae, Tisserand, Vincent, t'Jampens, Stephane, Tobin, Mark, Tomassetti, Luca, Tonani, Giorgia, Tong, Xingyu, Torres Machado, Diego, Toscano, Luca, Tou, da Yu, Trippl, Carina, Tuci, Giulia, Tuning, Niels, Ukleja, Artur, Unverzagt, Daniel Joachim, Usachov, Andrii, Ustyuzhanin, Andrey, Uwer, Ulrich, Vagnoni, Vincenzo, Valassi, Andrea, Valenti, Giovanni, Valls Canudas, Nuria, van Dijk, Maarten, van Hecke, Hubert, van Herwijnen, Eric, van Hulse, Charlotte Barbara, van Veghel, Maarten, Vazquez Gomez, Ricardo, Vazquez Regueiro, Pablo, Vázquez Sierra, Carlos, Vecchi, Stefania, Velthuis, Jaap, Veltri, Michele, Venkateswaran, Aravindhan, Vesterinen, Mika, Vieira, Daniel, Vieites Diaz, Maria, Vilasis-Cardona, Xavier, Vilella Figueras, Eva, Villa, Andrea, Vincent, Pascal, Volle, Felicia Carolin, Vom Bruch, Dorothea, Vorobyev, Vitaly, Voropaev, Nikolai, Vos, Kimberley, Vrahas, Constantinos, Walsh, John, Walton, Eliot Jane, Wan, Guanyue, Wang, Chishuai, Wang, Ganrong, Wang, Jialu, Wang, Jianchun, Wang, Jianqiao, Wang, Jike, Wang, Mengzhen, Wang, Rui, Wang, Xiaolin, Wang, Yilong, Wang, Zhenzi, Wang, Zirui, Wang, Ziyi, Ward, Jake Alexander, Watson, Nigel, Websdale, David, Wei, Yajing, Westhenry, Benedict Donald C, White, Dylan Jaide, Whitehead, Mark, Wiederhold, Aidan Richard, Wiedner, Dirk, Wilkinson, Guy, Wilkinson, Michael K, Williams, Ifan, Williams, Mike, Williams, Mark Richard James, Williams, Richard Morgan, Wilson, Fergus, Wislicki, Wojciech, Witek, Mariusz, Witola, Lukas, Wong, Cheuk Ping, Wormser, Guy, Wotton, Stephen, Wu, Hangyi, Wu, Jie, Wu, Yanxi, Wyllie, Kenneth, Xiang, Zhiyu, Xie, Yuehong, Xu, Ao, Xu, Jingyi, Xu, Li, Xu, Liangjun, Xu, Menglin, Xu, Qingnian, Xu, Zehua, Xu, Zhihao, Xu, Zijun, Yang, Di, Yang, Shuangli, Yang, Xueting, Yang, Youhua, Yang, Zhenwei, Yang, Zishuo, Yeroshenko, Vsevolod, Yeung, Ho Yin Dereck, Yin, Hang, Yu, Jiesheng, Yuan, Xuhao, Zaffaroni, Ettore, Zavertyaev, Mikhail, Zdybal, Milosz, Zeng, Ming, Zhang, Chenjia, Zhang, Dongliang, Zhang, Jianyu, Zhang, Liming, Zhang, Shulei, Zhang, Shunan, Zhang, Yanxi, Zhang, Yu, Zhao, Ya, Zharkova, Alina, Zhelezov, Alexey, Zheng, Yangheng, Zhou, Tianwen, Zhou, Xiaokang, Zhou, Yixiong, Zhovkovska, Valeriia, Zhu, Xianglei, Zhu, Xiaoyu, Zhu, Zhanwen, Zhukov, Valery, Zhuo, Jiahui, Zou, Quan, Zucchelli, Stefano, Zuliani, Davide, Zunica, Gianluca, Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and LHCb
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CKM matrix ,p p, scattering ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,mixing angle ,TeV ,branching ratio ,statistical ,LHC-B ,Particle Physics - Experiment ,High Energy Physics - Experiment - Abstract
Evidence for the decays $B^{0}\rightarrow\bar{D}^{0}\phi$ and $B^{0} \rightarrow \bar{D}^{*0}\phi$ is reported with a significance of 3.6$\,\sigma$ and 4.3$\,\sigma$, respectively. The analysis employs $pp$ collision data at centre-of-mass energies $\sqrt{s}=7$, 8 and 13 TeV collected by the LHCb detector and corresponding to an integrated luminosity of 9 $\rm{fb}^{-1}$. The branching fractions are measured to be $\mathcal{B}(B^{0}\rightarrow\bar{D}^{0}\phi) = (7.7\pm2.1\pm0.7\pm0.7)\times10^{-7}$, $\mathcal{B}(B^{0} \rightarrow \bar{D}^{*0}\phi)=(2.2\pm0.5\pm0.2\pm0.2)\times10^{-6}$. In these results, the first uncertainties are statistical, the second systematic, and the third is related to the branching fraction of the $B^{0}\rightarrow\bar{D}^{0}K^{+}K^{-}$ decay, used for normalisation. By combining the branching fractions of the decays $B^{0}\rightarrow\bar{D}^{(*)0}\phi$ and $B^{0}\rightarrow\bar{D}^{(*)0}\omega$, the $\omega$-$\phi$ mixing angle $\delta$ is constrained to be $\tan^2\delta = (3.6\pm0.7\pm0.4)\times10^{-3}$, where the first uncertainty is statistical and the second systematic. An updated measurement of the branching fractions of the $B^{0}_{s} \rightarrow \bar{D}^{(*)0}\phi$ decays, which can be used to determine the CKM angle $\gamma$, leads to $\mathcal{B}(B^{0}_{s}\rightarrow\bar{D}^{0}\phi)=(2.30\pm0.10 \pm 0.11\pm0.20)\times10^{-5}$, $\mathcal{B}(B^{0}_{s}\rightarrow\bar{D}^{*0}\phi) =(3.17\pm0.16 \pm 0.17 \pm 0.27)\times10^{-5}$., Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2023-003.html (LHCb public pages)
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- 2023
9. Visible-Light-Driven [3 + 2]/[4 + 2] Annulation Reactions of Alkenes with N-Aminopyridinium Salts
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Yu-Zhao Wang, Peng-Yu Liang, Hong-Chao Liu, Wu-Jie Lin, Pan-Pan Zhou, and Wei Yu
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Organic Chemistry ,Physical and Theoretical Chemistry ,Biochemistry - Published
- 2022
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10. Three new glycosides from the stems of Eurya chinensis R. Br
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Liang, Hui-Jun, Li, Qian-Ran, Li, Bai-Lin, Ni, Chen, Zhang, Wei-Jie, Fan, Yu-Wen, Ao, Zhuo-Yi, Hu, Juan-Juan, Yuan, Jie, and Wu, Jie-Wei
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Organic Chemistry ,Plant Science ,Biochemistry ,Analytical Chemistry - Abstract
Two new phenolic glycosides (1 and 2), one known analogue (3), along with a new diterpene glucoside (4) were obtained from ethanolic extract of the stems of Eurya chinensis R. Br. The structures of these isolated compounds were identified by extensive analysis of HRESIMS and NMR spectroscopic data. The cytotoxicities of these compounds were evaluated on MCF-7, A549, HepG2, CaCo2 and 5-8 F cell lines by MTT method, but no obvious activities were observed.
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- 2022
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11. Two new withanolides from the whole plants of Physalis peruviana
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Li, Qian-Ran, Liang, Hui-Jun, Li, Bai-Lin, Ao, Zhuo-Yi, Fan, Yu-Wen, Zhang, Wei-Jie, Lian, Xin, Chen, Jia-Yan, Hu, Juan-Juan, Yuan, Jie, and Wu, Jie-Wei
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Pharmacology ,Complementary and alternative medicine ,Organic Chemistry ,Drug Discovery ,Pharmaceutical Science ,Molecular Medicine ,General Medicine ,Analytical Chemistry - Abstract
Two new withaphysalin-type withanolides (18-O-ethylwithaphysalin R and 5-O-ethylphysaminimin C, 1 and 2), along with twelve known withanolides (3–14), were purified and identified from Physalis peruviana L. The chemical structures of these new isolates were elucidated through analyzing spectroscopic and HRESIMS data. All the obtained metabolites were appraised for their potential antiproliferative activity against the human breast cancer cell line MCF-7. Compound 7 was discovered to exhibit potent activity with an IC50 value of 3.51 µM and compounds 2, 6 and 14 showed weak cytotoxic effect.
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- 2022
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12. Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
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Qin, Jie, Wu, Jie, Xiao, Xuefeng, Li, Lujun, and Wang, Xingang
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FOS: Computer and information sciences ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition ,General Medicine - Abstract
Image-level weakly supervised semantic segmentation (WSSS) is a fundamental yet challenging computer vision task facilitating scene understanding and automatic driving. Most existing methods resort to classification-based Class Activation Maps (CAMs) to play as the initial pseudo labels, which tend to focus on the discriminative image regions and lack customized characteristics for the segmentation task. To alleviate this issue, we propose a novel activation modulation and recalibration (AMR) scheme, which leverages a spotlight branch and a compensation branch to obtain weighted CAMs that can provide recalibration supervision and task-specific concepts. Specifically, an attention modulation module (AMM) is employed to rearrange the distribution of feature importance from the channel-spatial sequential perspective, which helps to explicitly model channel-wise interdependencies and spatial encodings to adaptively modulate segmentation-oriented activation responses. Furthermore, we introduce a cross pseudo supervision for dual branches, which can be regarded as a semantic similar regularization to mutually refine two branches. Extensive experiments show that AMR establishes a new state-of-the-art performance on the PASCAL VOC 2012 dataset, surpassing not only current methods trained with the image-level of supervision but also some methods relying on stronger supervision, such as saliency label. Experiments also reveal that our scheme is plug-and-play and can be incorporated with other approaches to boost their performance., Accepted by AAAI2022
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- 2022
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13. Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances
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Gomez, Luis, Wu, Jie, and Frery, Alejandro
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Signal Processing ,Software ,Uncategorized - Abstract
No description supplied
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- 2022
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14. Ultralong Room-Temperature Phosphorescence of Silicon-Based Pure Organic Crystal for Oxygen Sensing
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Wu-Jie Guo, Chen-Ho Tung, Li-Zhu Wu, and Yu-Zhe Chen
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Materials science ,business.industry ,Organic crystal ,chemistry.chemical_element ,General Chemistry ,Oxygen ,Silicon based ,chemistry ,Optoelectronics ,Sensitivity (control systems) ,Phosphorescence ,business ,Oxygen sensor ,Oxygen sensing ,Rapid response - Abstract
Quantitative oxygen detection is of great importance in biological fields, complex environments, and chemical process engineering. Due to the high sensitivity and rapid response of long-lived phosp...
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- 2022
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15. Measurement of $\Xi^{+}_{c}$ production in pPb collisions at $\sqrt{s_{\mathrm{NN}}}=8.16$ TeV at LHCb
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Aaij, Roel, Abdelmotteleb, Ahmed Sameh Wagih, Abellan Beteta, Carlos, Abudinén, Fernando Jesus, Ackernley, Thomas, Adeva, Bernardo, Adinolfi, Marco, Adlarson, Patrik Harri, Afsharnia, Hossein, Agapopoulou, Christina, Aidala, Christine Angela, Ajaltouni, Ziad, Akar, Simon, Akiba, Kazuyoshi, Albicocco, Pietro, Albrecht, Johannes, Alessio, Federico, Alexander, Michael, Alfonso Albero, Alejandro, Aliouche, Zakariya, Alvarez Cartelle, Paula, Amalric, Renaud, Amato, Sandra, Amey, Jake Lewis, Amhis, Yasmine, An, Liupan, Anderlini, Lucio, Andersson, Martin, Andreianov, Aleksei, Andreotti, Mirco, Andreou, Dimitra, Ao, Dong, Archilli, Flavio, Artamonov, Alexander, Artuso, Marina, Aslanides, Elie, Atzeni, Michele, Audurier, Benjamin, Bachiller Perea, Irene, Bachmann, Sebastian, Bachmayer, Marie, Back, John, Bailly-reyre, Aurelien, Baladron Rodriguez, Pablo, Balagura, Vladislav, Baldini, Wander, Baptista de Souza Leite, Juan, Barbetti, Matteo, Barlow, Roger, Barsuk, Sergey, Barter, William, Bartolini, Matteo, Baryshnikov, Fedor, Basels, Jan-Marc, Bassi, Giovanni, Batozskaya, Varvara, Batsukh, Baasansuren, Battig, Alexander, Bay, Aurelio, Beck, Anja, Becker, Maik, Bedeschi, Franco, Bediaga, Ignacio, Beiter, Andrew, Belin, Samuel, Bellee, Violaine, Belous, Konstantin, Belov, Ilia, Belyaev, Ivan, Benane, Gaya, Bencivenni, Giovanni, Ben-Haim, Eli, Berezhnoy, Alexander, Bernet, Roland, Bernet Andres, Sergi, Berninghoff, Daniel, Bernstein, Harris Conan, Bertella, Claudia, Bertolin, Alessandro, Betancourt, Christopher, Betti, Federico, Bezshyiko, Iaroslava, Bhasin, Srishti, Bhom, Jihyun, Bian, Lingzhu, Bieker, Martin Stefan, Biesuz, Nicolo Vladi, Billoir, Pierre, Biolchini, Alice, Birch, Matthew, Bishop, Fionn Caitlin Ros, Bitadze, Alexander, Bizzeti, Andrea, Blago, Michele Piero, Blake, Thomas, Blanc, Frederic, Blank, Jonah Evan, Blusk, Steven, Bobulska, Dana, Boelhauve, Julian Alexander, Boente Garcia, Oscar, Boettcher, Thomas, Boldyrev, Alexey, Bolognani, Carolina, Bolzonella, Riccardo, Bondar, Nikolay, Borgato, Federica, Borghi, Silvia, Borsato, Martino, Borsuk, Jozef Tomasz, Bouchiba, Sonia Amina, Bowcock, Themistocles, Boyer, Alexandre, Bozzi, Concezio, Bradley, Matthew John, Braun, Svende, Brea Rodriguez, Alexandre, Brodzicka, Jolanta, Brossa Gonzalo, Arnau, Brown, James David, Brundu, Davide, Buonaura, Annarita, Buonincontri, Laura, Burke, Aodhan Tomas, Burr, Christopher, Bursche, Albert, Butkevich, Anatoly, Butter, Jordy Sebastiaan, Buytaert, Jan, Byczynski, Wiktor, Cadeddu, Sandro, Cai, Hao, Calabrese, Roberto, Calefice, Lukas, Cali, Stefano, Calvi, Marta, Calvo Gomez, Miriam, Campana, Pierluigi, Campora Perez, Daniel Hugo, Campoverde Quezada, Angel Fernando, Capelli, Simone, Capriotti, Lorenzo, Carbone, Angelo, Cardinale, Roberta, Cardini, Alessandro, Carniti, Paolo, Carus, Leon David, Casais Vidal, Adrian, Caspary, Rowina, Casse, Gianluigi, Cattaneo, Marco, Cavallero, Giovanni, Cavallini, Viola, Celani, Sara, Cerasoli, Jacopo, Cervenkov, Daniel, Chadwick, Abbie Jane, Chahrour, Ibrahim, Chapman, Matthew George, Charles, Matthew, Charpentier, Philippe, Chavez Barajas, Carlos Alberto, Chefdeville, Maximilien, Chen, Chen, Chen, Shanzhen, Chernov, Aleksei, Chernyshenko, Serhii, Chobanova, Veronika, Cholak, Serhii, Chrzaszcz, Marcin, Chubykin, Aleksei, Chulikov, Vladimir, Ciambrone, Paolo, Cicala, Maria Flavia, Cid Vidal, Xabier, Ciezarek, Gregory, Cifra, Pierfrancesco, Clarke, Peter, Clemencic, Marco, Cliff, Harry, Closier, Joel, Cobbledick, John Leslie, Coco, Victor, Cogan, Julien, Cogneras, Eric, Cojocariu, Lucian, Collins, Paula, Colombo, Tommaso, Congedo, Liliana, Contu, Andrea, Cooke, Naomi, Corredoira, Imanol, Corti, Gloria, Couturier, Benjamin, Craik, Daniel Charles, Cruz Torres, Melissa Maria, Currie, Robert, Da Silva, Cesar Luiz, Dadabaev, Shakhzod, Dai, Lingyun, Dai, Xinchen, Dall'Occo, Elena, Dalseno, Jeremy, D'Ambrosio, Carmelo, Daniel, Jessy, Danilina, Anna, d'Argent, Philippe, Davies, Jonathan Edward, Davis, Adam, De Aguiar Francisco, Oscar, de Boer, Jan, De Bruyn, Kristof, De Capua, Stefano, De Cian, Michel, De Freitas Carneiro Da Graca, Ulisses, De Lucia, Erika, De Miranda, Jussara, De Paula, Leandro, De Serio, Marilisa, De Simone, Dario, De Simone, Patrizia, De Vellis, Fabio, de Vries, Jacco, Dean, Cameron Thomas, Debernardis, Francesco, Decamp, Daniel, Dedu, Vlad-George, Del Buono, Luigi, Delaney, Blaise, Dembinski, Hans Peter, Denysenko, Vadym, Deschamps, Olivier, Dettori, Francesco, Dey, Biplab, Di Nezza, Pasquale, Diachkov, Igor, Didenko, Sergey, Dieste Maronas, Lorena, Ding, Shuchong, Dobishuk, Vasyl, Dolmatov, Aleksandr, Dong, Chenzhi, Donohoe, Amanda May, Dordei, Francesca, dos Reis, Alberto, Douglas, Lauren, Downes, Anthony Gavin, Duda, Piotr Jakub, Dudek, Maciej Wojciech, Dufour, Laurent, Duk, Viacheslav, Durante, Paolo, Duras, Maciej, Durham, John Matthew, Dutta, Deepanwita, Dziurda, Agnieszka, Dzyuba, Alexey, Easo, Sajan, Egede, Ulrik, Egorychev, Victor, Eirea Orro, Caetano, Eisenhardt, Stephan, Ejopu, Enoch, Ek-In, Surapat, Eklund, Lars, Elashri, Mohamed, Ellbracht, Jan Hendrik, Ely, Scott, Ene, Alexandru, Epple, Eliane, Escher, Stephan, Eschle, Jonas Nathanael, Esen, Sevda, Evans, Timothy, Fabiano, Federica, Falcao, Lucas, Fan, Yanting, Fang, Bo, Fantini, Lisa, Faria, Maria, Farry, Stephen, Fazzini, Davide, Felkowski, Lukasz Jerzy, Feo, Mauricio, Fernandez Gomez, Miguel, Fernez, Alex Daniel, Ferrari, Fabio, Ferreira Lopes, Lino, Ferreira Rodrigues, Fernando, Ferreres Sole, Silvia, Ferrillo, Martina, Ferro-Luzzi, Massimiliano, Filippov, Sergey, Fini, Rosa Anna, Fiorini, Massimiliano, Firlej, Miroslaw, Fischer, Kamil Leszek, Fitzgerald, Dillon Scott, Fitzpatrick, Conor, Fiutowski, Tomasz, Fleuret, Frederic, Fontana, Marianna, Fontanelli, Flavio, Forty, Roger, Foulds-Holt, Daniel, Franco Lima, Vinicius, Franco Sevilla, Manuel, Frank, Markus, Franzoso, Edoardo, Frau, Giulia, Frei, Christoph, Friday, David Anthony, Frontini, Luca, Fu, Jinlin, Fuehring, Quentin, Fulghesu, Tommaso, Gabriel, Emmy, Galati, Giuliana, Galati, Maria Domenica, Gallas Torreira, Abraham, Galli, Domenico, Gambetta, Silvia, Gandelman, Miriam, Gandini, Paolo, Gao, Yang, Gao, Yuanning, Garau, Michela, Garcia Martin, Luis Miguel, Garcia Moreno, Paula, García Pardiñas, Julián, Garcia Plana, Beatriz, Garcia Rosales, Felipe Andres, Garrido, Lluis, Gaspar, Clara, Geertsema, Robbert Erik, Gerick, David, Gerken, Louis Lenard, Gersabeck, Evelina, Gersabeck, Marco, Gershon, Timothy, Giambastiani, Luca, Gibson, Valerie, Giemza, Henryk Karol, Gilman, Alexander Leon, Giovannetti, Matteo, Gioventù, Alessandra, Gironella Gironell, Pere, Giugliano, Carmen, Giza, Maciej Artur, Gizdov, Konstantin, Gkougkousis, Evangelos Leonidas, Gligorov, Vladimir, Göbel, Carla, Golobardes, Elisabet, Golubkov, Dmitry, Golutvin, Andrey, Gomes, Alvaro, Gomez Fernandez, Sergio, Goncalves Abrantes, Fernanda, Goncerz, Mateusz, Gong, Guanghua, Gorelov, Igor Vladimirovich, Gotti, Claudio, Grabowski, Jascha Peter, Grammatico, Thomas, Granado Cardoso, Luis Alberto, Graugés, Eugeni, Graverini, Elena, Graziani, Giacomo, Grecu, Alexandru Tudor, Greeven, Lex Marinus, Grieser, Nathan Allen, Grillo, Lucia, Gromov, Sergey, Gruberg Cazon, Barak Raimond, Gu, Chenxi, Guarise, Marco, Guittiere, Manuel, Günther, Paul Andre, Gushchin, Evgeny, Guth, Andreas, Guz, Yury, Gys, Thierry, Hadavizadeh, Thomas, Hadjivasiliou, Christos, Haefeli, Guido, Haen, Christophe, Haimberger, Jakob, Haines, Susan, Halewood-leagas, Tabitha, Halvorsen, Marius Maehlum, Hamilton, Phoebe Meredith, Hammerich, Jan, Han, Qundong, Han, Xiaoxue, Hansen, Eva Brottmann, Hansmann-Menzemer, Stephanie, Hao, Lei, Harnew, Neville, Harrison, Thomas, Hasse, Christoph, Hatch, Mark, He, Jibo, Heijhoff, Kevin, Hemmer, Frederic, Henderson, Conor, Henderson, Riley Dylan Leslie, Hennequin, Arthur Marius, Hennessy, Karol, Henry, Louis, Herd, James Daniel, Heuel, Johannes, Hicheur, Adlène, Hill, Donal, Hilton, Martha, Hollitt, Sophie, Horswill, Joshua Ethan, Hou, Ruiwen, Hou, Yingrui, Hu, Jiangqiao, Hu, Jifeng, Hu, Wenhua, Hu, Xiaofan, Huang, Wenqian, Huang, Xiaotao, Hulsbergen, Wouter, Hunter, Ross John, Hushchyn, Mikhail, Hutchcroft, David, Ibis, Philipp, Idzik, Marek, Ilin, Dmitrii, Ilten, Philip, Inglessi, Alexander, Iniukhin, Aleksandr, Ishteev, Artur, Ivshin, Kuzma, Jacobsson, Richard, Jage, Hendrik, Jaimes Elles, Sergio Javier, Jakobsen, Sune, Jans, Eddy, Jashal, Brij Kishor, Jawahery, Abolhassan, Jevtic, Vukan, Jiang, Emily Kaiyin, Jiang, Xiaojie, Jiang, Yi, John, Malcolm, Johnson, Daniel, Jones, Christopher, Jones, Thomas Peter, Jost, Beat, Jurik, Nathan, Juszczak, Izabela, Kandybei, Sergii, Kang, Youen, Karacson, Matthias, Karpenkov, Dmitrii, Karpov, Maksim, Kautz, Jacob William, Keizer, Floris, Keller, Dustin Michael, Kenzie, Matthew, Ketel, Tjeerd, Khanji, Basem, Kharisova, Anastasiia, Kholodenko, Sergei, Khreich, Gaelle, Kirn, Thomas, Kirsebom, Veronica Soelund, Kitouni, Ouail, Klaver, Suzanne, Kleijne, Nico, Klimaszewski, Konrad, Kmiec, Mateusz Rafal, Koliiev, Serhii, Kolk, Lars, Kondybayeva, Almagul, Konoplyannikov, Anatoly, Kopciewicz, Pawel, Kopecna, Renata, Koppenburg, Patrick, Korolev, Mikhail, Kostiuk, Igor, Kot, Oleksander, Kotriakhova, Sofia, Kozachuk, Anastasiia, Kravchenko, Polina, Kravchuk, Leonid, Krawczyk, Rafal Dominik, Kreps, Michal, Kretzschmar, Sophie Katharina, Krokovny, Pavel, Krupa, Wojciech, Krzemien, Wojciech, Kubat, Jakub, Kubis, Sebastian Antoni, Kucewicz, Wojciech, Kucharczyk, Marcin, Kudryavtsev, Vasily, Kulikova, Evgenia, Kupsc, Andrzej, Lacarrere, Daniel, Lafferty, George, Lai, Adriano, Lampis, Andrea, Lancierini, Davide, Landesa Gomez, Clara, Lane, John Jake, Lane, Richard, Langenbruch, Christoph, Langer, Jan, Lantwin, Oliver, Latham, Thomas, Lazzari, Federico, Lazzaroni, Massimo, Le Gac, Renaud, Lee, Sook Hyun, Lefèvre, Regis, Leflat, Alexander, Legotin, Sergey, Leroy, Olivier, Lesiak, Tadeusz, Leverington, Blake, Li, Anfeng, Li, Hengne, Li, Kechen, Li, Peilian, Li, Pei-Rong, Li, Shiyang, Li, Tiange, Li, Tianqi, Li, Yiming, Li, Zhuoming, Liang, Xixin, Lin, Chuangxin, Lin, Tai-hua, Lindner, Rolf, Lisovskyi, Vitalii, Litvinov, Roman, Liu, Guoming, Liu, Huanhuan, Liu, Qian, Liu, Shuaiyi, Lobo Salvia, Aniol, Loi, Angelo, Lollini, Riccardo, Lomba Castro, Julian, Longstaff, Iain, Lopes, Jose, Lopez Huertas, Albert, López Soliño, Saúl, Lovell, George Holger, Lu, Yu, Lucarelli, Chiara, Lucchesi, Donatella, Luchuk, Stanislav, Lucio Martinez, Miriam, Lukashenko, Valeriia, Luo, Yiheng, Lupato, Anna, Luppi, Eleonora, Lusiani, Alberto, Lynch, Kate, Lyu, Xiao-Rui, Ma, Ruiting, Maccolini, Serena, Machefert, Frederic, Maciuc, Florin, Mackay, Innes, Macko, Vladimir, Madhan Mohan, Lakshan Ram, Maevskiy, Artem, Maisuzenko, Dmitrii, Majewski, Maciej Witold, Malczewski, Jakub Jacek, Malde, Sneha, Malecki, Bartosz, Malinin, Alexander, Maltsev, Timofei, Manca, Giulia, Mancinelli, Giampiero, Mancuso, Chiara, Manera Escalero, Rafel, Manuzzi, Daniele, Manzari, Claudio Andrea, Marangotto, Daniele, Maratas, Jan Mickelle, Marchand, Jean François, Marconi, Umberto, Mariani, Saverio, Marin Benito, Carla, Marks, Jörg, Marshall, Alexander Mclean, Marshall, Phillip John, Martelli, Gabriele, Martellotti, Giuseppe, Martinazzoli, Loris, Martinelli, Maurizio, Martinez Santos, Diego, Martinez Vidal, Fernando, Massafferri, André, Materok, Marcel, Matev, Rosen, Mathad, Abhijit, Matiunin, Viacheslav, Matteuzzi, Clara, Mattioli, Kara Renee, Mauri, Andrea, Maurice, Emilie, Mauricio, Joan, Mazurek, Michal, McCann, Michael, Mcconnell, Lucas, McGrath, Tamaki Holly, McHugh, Niall Thomas, McNab, Andrew, McNulty, Ronan, Mead, James Vincent, Meadows, Brian, Meier, Gerwin, Melnychuk, Dmytro, Meloni, Simone, Merk, Marcel, Merli, Andrea, Meyer Garcia, Lucas, Miao, Dexing, Mikhasenko, Mikhail, Milanes, Diego Alejandro, Millard, Edward James, Milovanovic, Marko, Minard, Marie-Noelle, Minotti, Alessandro, Miralles, Tristan, Mitchell, Sara Elizabeth, Mitreska, Biljana, Mitzel, Dominik Stefan, Mödden, Antje, Mohammed, Rizwaan Adeeb, Moise, Razvan-Daniel, Mokhnenko, Sergei, Mombächer, Titus, Monk, Matthew David, Monroy, Igancio Alberto, Monteil, Stephane, Morello, Gianfranco, Morello, Michael Joseph, Morgenthaler, Maurice Pierre, Moron, Jakub, Morris, Adam Benjamin, Morris, Andrew George, Mountain, Raymond, Mu, Hongjie, Muhammad, Emir, Muheim, Franz, Mulder, Mick, Müller, Katharina, Murphy, Colm Harold, Murray, Donal, Murta, Rebecca, Muzzetto, Piera, Naik, Paras, Nakada, Tatsuya, Nandakumar, Raja, Nanut, Tara, Nasteva, Irina, Needham, Matthew, Neri, Nicola, Neubert, Sebastian, Neufeld, Niko, Neustroev, Petr, Newcombe, Ryan, Nicolini, Janina, Nicotra, Davide, Niel, Elisabeth Maria, Nieswand, Simon, Nikitin, Nikolay, Nolte, Niklas Stefan, Normand, Camille, Novoa Fernandez, Julio, Nowak, Gabriel Matthew, Nunez, Cynthia, Oblakowska-Mucha, Agnieszka, Obraztsov, Vladimir, Oeser, Thomas, Okamura, Shinichi, Oldeman, Rudolf, Oliva, Federica, Onderwater, Gerco, O'Neil, Ryunosuke Hugo, Otalora Goicochea, Juan Martin, Ovsiannikova, Tatiana, Owen, Patrick, Oyanguren, Maria Aranzazu, Ozcelik, Ozlem, Padeken, Klaas Ole, Pagare, Bhagyashree, Pais, Preema Rennee, Pajero, Tommaso, Palano, Antimo, Palutan, Matteo, Pan, Yue, Panshin, Gennady, Paolucci, Lorenzo, Papanestis, Antonios, Pappagallo, Marco, Pappalardo, Luciano, Pappenheimer, Cheryl, Parker, William, Parkes, Christopher, Passalacqua, Barbara, Passaleva, Giovanni, Pastore, Alessandra, Patel, Mitesh, Patrignani, Claudia, Pawley, Christopher James, Pellegrino, Antonio, Pepe Altarelli, Monica, Perazzini, Stefano, Pereima, Dmitrii, Pereiro Castro, Asier, Perret, Pascal, Petridis, Konstantinos, Petrolini, Alessandro, Petrov, Aleksandr, Petrucci, Stefano, Petruzzo, Marco, Pham, Hang, Philippov, Anton, Piandani, Roberto, Pica, Lorenzo, Piccini, Mauro, Pietrzyk, Boleslaw, Pietrzyk, Guillaume, Pili, Martina, Pinci, Davide, Pisani, Flavio, Pizzichemi, Marco, Placinta, Vlad-Mihai, Plews, Jonathan, Plo Casasus, Maximo, Polci, Francesco, Poli Lener, Marco, Poluektov, Anton, Polukhina, Natalia, Polyakov, Ivan, Polycarpo, Erica, Ponce, Sebastien, Popov, Dmitry, Poslavskii, Stanislav, Prasanth, Kodassery, Promberger, Laura, Prouve, Claire, Pugatch, Valery, Puill, Veronique, Punzi, Giovanni, Qi, Hongrong, Qian, Wenbin, Qin, Ning, Qu, Sanqiang, Quagliani, Renato, Raab, Naomi Veronika, Rachwal, Bartlomiej, Rademacker, Jonas, Rajagopalan, Rohan, Rama, Matteo, Ramos Pernas, Miguel, Rangel, Murilo, Ratnikov, Fedor, Raven, Gerhard, Rebollo De Miguel, Miguel, Redi, Federico, Reich, Jake, Reiss, Florian, Remon Alepuz, Clara, Ren, Zan, Resmi, P.K., Ribatti, Roberto, Ricci, Alessandro Maria, Ricciardi, Stefania, Richardson, Kate Abigail, Richardson-Slipper, Mary, Rinnert, Kurt, Robbe, Patrick, Robertson, Gary, Rodrigues, Ana Barbara, Rodrigues, Eduardo, Rodriguez Fernandez, Emilio Xose, Rodriguez Lopez, Jairo Alexis, Rodriguez Rodriguez, Efren, Rolf, David Leonhard, Rollings, Alexandra Paige, Roloff, Philipp, Romanovskiy, Vladimir, Romero Lamas, Marcos, Romero Vidal, Antonio, Roth, Jordan Daniel, Rotondo, Marcello, Rudolph, Matthew Scott, Ruf, Thomas, Ruiz Fernandez, Ramon Angel, Ruiz Vidal, Joan, Ryzhikov, Artem, Ryzka, Jakub, Saborido Silva, Juan Jose, Sagidova, Naylya, Sahoo, Niladribihari, Saitta, Biagio, Salomoni, Matteo, Sanchez Gras, Cristina, Sanderswood, Izaac, Santacesaria, Roberta, Santamarina Rios, Cibran, Santimaria, Marco, Santovetti, Emanuele, Saranin, Danila, Sarpis, Gediminas, Sarpis, Mindaugas, Sarti, Alessio, Satriano, Celestina, Satta, Alessia, Saur, Miroslav, Savrina, Darya, Sazak, Halime, Scantlebury Smead, Luke George, Scarabotto, Alessandro, Schael, Stefan, Scherl, Sigrid, Schiller, Manuel, Schindler, Heinrich, Schmelling, Michael, Schmidt, Burkhard, Schmitt, Sebastian, Schneider, Olivier, Schopper, Andreas, Schubiger, Maxime, Schulte, Sebastian, Schune, Marie Helene, Schwemmer, Rainer, Sciascia, Barbara, Sciuccati, Augusto, Sellam, Sara, Semennikov, Alexander, Senghi Soares, Mara, Sergi, Antonino, Serra, Nicola, Sestini, Lorenzo, Seuthe, Alex, Shang, Yiduo, Shangase, Desmond Mzamo, Shapkin, Mikhail, Shchemerov, Ivan, Shchutska, Lesya, Shears, Tara, Shekhtman, Lev, Shen, Zhihong, Sheng, Shuqi, Shevchenko, Vladimir, Shi, Boan, Shields, Edward Brendan, Shimizu, Yuya, Shmanin, Evgenii, Shorkin, Roman, Shupperd, Joseph David, Siddi, Benedetto Gianluca, Silva Coutinho, Rafael, Simi, Gabriele, Simone, Saverio, Singla, Minni, Skidmore, Nicola, Skuza, Raphael, Skwarnicki, Tomasz, Slater, Mark, Smallwood, Jennifer Clare, Smeaton, John Gordon, Smith, Eluned, Smith, Krista Lizbeth, Smith, Mark, Snoch, Aleksandra, Soares Lavra, Lais, Sokoloff, Michael, Soler, Paul, Solomin, Anatoly, Solovev, Aleksandr, Solovyev, Ivan, Song, Rongrong, Souza De Almeida, Felipe Luan, Souza De Paula, Bruno, Spaan, Bernhard, Spadaro Norella, Elisabetta, Spedicato, Eugenia, Spiridenkov, Eduard, Spradlin, Patrick, Sriskaran, Viros, Stagni, Federico, Stahl, Marian, Stahl, Sascha, Stanislaus, Seophine, Stein, Eloise Noelle, Steinkamp, Olaf, Stenyakin, Oleg, Stevens, Holger, Stone, Sheldon, Strekalina, Daria, Su, Yangjie, Suljik, Fidan, Sun, Jiayin, Sun, Liang, Sun, Yipeng, Svihra, Peter, Swallow, Paul Nathaniel, Swientek, Krzysztof, Szabelski, Adam, Szumlak, Tomasz, Szymanski, Maciej Pawel, Tan, Yinghua, Taneja, Shantam, Tat, Martin Duy, Terentev, Aleksandr, Teubert, Frederic, Thomas, Eric, Thompson, Daniel James David, Thomson, Kayleigh Anne, Tilquin, Hanae, Tisserand, Vincent, T'Jampens, Stephane, Tobin, Mark, Tomassetti, Luca, Tonani, Giorgia, Tong, Xingyu, Torres Machado, Diego, Tou, Da Yu, Trilov, Stoyan Miroslavov, Trippl, Carina, Tuci, Giulia, Tuning, Niels, Ukleja, Artur, Unverzagt, Daniel Joachim, Usachov, Andrii, Ustyuzhanin, Andrey, Uwer, Ulrich, Vagner, Alexander, Vagnoni, Vincenzo, Valassi, Andrea, Valenti, Giovanni, Valls Canudas, Nuria, Van Dijk, Maarten, Van Hecke, Hubert, van Herwijnen, Eric, Van Hulse, Charlotte Barbara, van Veghel, Maarten, Vazquez Gomez, Ricardo, Vazquez Regueiro, Pablo, Vázquez Sierra, Carlos, Vecchi, Stefania, Velthuis, Jaap, Veltri, Michele, Venkateswaran, Aravindhan, Veronesi, Michele, Vesterinen, Mika, Vieira, Daniel, Vieites Diaz, Maria, Vilasis-Cardona, Xavier, Vilella Figueras, Eva, Villa, Andrea, Vincent, Pascal, Volle, Felicia Carolin, vom Bruch, Dorothea, Vorobyev, Alexey, Vorobyev, Vitaly, Voropaev, Nikolai, Vos, Kimberley, Vrahas, Constantinos, Walsh, John, Walton, Eliot Jane, Wan, Guanyue, Wang, Chishuai, Wang, Ganrong, Wang, Jialu, Wang, Jianchun, Wang, Jianqiao, Wang, Jike, Wang, Mengzhen, Wang, Rui, Wang, Xiaolin, Wang, Yilong, Wang, Zhenzi, Wang, Zirui, Wang, Ziyi, Ward, Jake Alexander, Watson, Nigel, Websdale, David, Wei, Yajing, Westhenry, Benedict Donald C., White, Dylan Jaide, Whitehead, Mark, Wiederhold, Aidan Richard, Wiedner, Dirk, Wilkinson, Guy, Wilkinson, Michael K., Williams, Ifan, Williams, Mike, Williams, Mark Richard James, Williams, Richard Morgan, Wilson, Fergus, Wislicki, Wojciech, Witek, Mariusz, Witola, Lukas, Wong, Cheuk Ping, Wormser, Guy, Wotton, Stephen, Wu, Hangyi, Wu, Jie, Wyllie, Kenneth, Xiang, Zhiyu, Xie, Yuehong, Xu, Ao, Xu, Jingyi, Xu, Li, Xu, Liangjun, Xu, Menglin, Xu, Qingnian, Xu, Zehua, Xu, Zhihao, Yang, Di, Yang, Shuangli, Yang, Xueting, Yang, Youhua, Yang, Zhenwei, Yang, Zishuo, Yeomans, Lauren Emma, Yeroshenko, Vsevolod, Yeung, Ho Yin Dereck, Yin, Hang, Yu, Jiesheng, Yuan, Xuhao, Zaffaroni, Ettore, Zavertyaev, Mikhail, Zdybal, Milosz, Zeng, Ming, Zhang, Chenjia, Zhang, Dongliang, Zhang, Liming, Zhang, Shulei, Zhang, Shunan, Zhang, Yanxi, Zhang, Yu, Zhao, Ya, Zharkova, Alina, Zhelezov, Alexey, Zheng, Yangheng, Zhou, Tianwen, Zhou, Xiaokang, Zhou, Yixiong, Zhovkovska, Valeriia, Zhu, Xianglei, Zhu, Xiaoyu, Zhu, Zhanwen, Zhukov, Valery, Zou, Quan, Zucchelli, Stefano, Zuliani, Davide, and Zunica, Gianluca
- Subjects
Nuclear Physics - Experiment ,Particle Physics - Experiment - Abstract
A study of prompt $\Xi_{c}^{+}$ production in proton-lead collisions is performed with the LHCb experiment at a centre-of-mass energy per nucleon pair of 8.16 TeV in 2016 in $p$Pb and Pb$p$ collisions with an estimated integrated luminosity of approximately 12.5 and 17.4 nb$^{-1}$, respectively. The $\Xi_{c}^{+}$ production cross-section, as well as the $\Xi_{c}^{+}$ to $\Lambda_{c}^{+}$ production cross-section ratio, are measured as a function of the transverse momentum and rapidity and compared to latest theory predictions. The forward-backward asymmetry is also measured as a function of the $\Xi_{c}^{+}$ transverse momentum. A study of prompt $\Xi_{c}^{+}$ production in proton-lead collisions is performed with the LHCb experiment at a centre-of-mass energy per nucleon pair of 8.16 TeV in 2016 in $p$Pb and Pb$p$ collisions with an estimated integrated luminosity of approximately 12.5 and 17.4 nb$^{-1}$, respectively. The $\Xi_{c}^{+}$ production cross-section, as well as the $\Xi_{c}^{+}$ to $\Lambda_{c}^{+}$ production cross-section ratio, are measured as a function of the transverse momentum and rapidity and compared to latest theory predictions. The forward-backward asymmetry is also measured as a function of the $\Xi_{c}^{+}$ transverse momentum.
- Published
- 2023
16. Precision measurement of CP violation in the penguin-mediated decay $B_s^{0 } \rightarrow \phi \phi$
- Author
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Aaij, Roel, Abdelmotteleb, Ahmed Sameh Wagih, Abellan Beteta, Carlos, Abudinén, Fernando Jesus, Ackernley, Thomas, Adeva, Bernardo, Adinolfi, Marco, Adlarson, Patrik Harri, Afsharnia, Hossein, Agapopoulou, Christina, Aidala, Christine Angela, Ajaltouni, Ziad, Akar, Simon, Akiba, Kazuyoshi, Albicocco, Pietro, Albrecht, Johannes, Alessio, Federico, Alexander, Michael, Alfonso Albero, Alejandro, Aliouche, Zakariya, Alvarez Cartelle, Paula, Amalric, Renaud, Amato, Sandra, Amey, Jake Lewis, Amhis, Yasmine, An, Liupan, Anderlini, Lucio, Andersson, Martin, Andreianov, Aleksei, Andreotti, Mirco, Andreou, Dimitra, Ao, Dong, Archilli, Flavio, Artamonov, Alexander, Artuso, Marina, Aslanides, Elie, Atzeni, Michele, Audurier, Benjamin, Bachiller Perea, Irene, Bachmann, Sebastian, Bachmayer, Marie, Back, John, Bailly-reyre, Aurelien, Baladron Rodriguez, Pablo, Balagura, Vladislav, Baldini, Wander, Baptista de Souza Leite, Juan, Barbetti, Matteo, Barlow, Roger, Barsuk, Sergey, Barter, William, Bartolini, Matteo, Baryshnikov, Fedor, Basels, Jan-Marc, Bassi, Giovanni, Batozskaya, Varvara, Batsukh, Baasansuren, Battig, Alexander, Bay, Aurelio, Beck, Anja, Becker, Maik, Bedeschi, Franco, Bediaga, Ignacio, Beiter, Andrew, Belin, Samuel, Bellee, Violaine, Belous, Konstantin, Belov, Ilia, Belyaev, Ivan, Benane, Gaya, Bencivenni, Giovanni, Ben-Haim, Eli, Berezhnoy, Alexander, Bernet, Roland, Bernet Andres, Sergi, Berninghoff, Daniel, Bernstein, Harris Conan, Bertella, Claudia, Bertolin, Alessandro, Betancourt, Christopher, Betti, Federico, Bezshyiko, Iaroslava, Bhom, Jihyun, Bian, Lingzhu, Bieker, Martin Stefan, Biesuz, Nicolo Vladi, Billoir, Pierre, Biolchini, Alice, Birch, Matthew, Bishop, Fionn Caitlin Ros, Bitadze, Alexander, Bizzeti, Andrea, Blago, Michele Piero, Blake, Thomas, Blanc, Frederic, Blank, Jonah Evan, Blusk, Steven, Bobulska, Dana, Bocharnikov, Vladimir, Boelhauve, Julian Alexander, Boente Garcia, Oscar, Boettcher, Thomas, Boldyrev, Alexey, Bolognani, Carolina, Bolzonella, Riccardo, Bondar, Nikolay, Borgato, Federica, Borghi, Silvia, Borsato, Martino, Borsuk, Jozef Tomasz, Bouchiba, Sonia Amina, Bowcock, Themistocles, Boyer, Alexandre, Bozzi, Concezio, Bradley, Matthew John, Braun, Svende, Brea Rodriguez, Alexandre, Breer, Nils, Brodzicka, Jolanta, Brossa Gonzalo, Arnau, Brown, James David, Brundu, Davide, Buonaura, Annarita, Buonincontri, Laura, Burke, Aodhan Tomas, Burr, Christopher, Bursche, Albert, Butkevich, Anatoly, Butter, Jordy Sebastiaan, Buytaert, Jan, Byczynski, Wiktor, Cadeddu, Sandro, Cai, Hao, Calabrese, Roberto, Calefice, Lukas, Cali, Stefano, Calvi, Marta, Calvo Gomez, Miriam, Campana, Pierluigi, Campora Perez, Daniel Hugo, Campoverde Quezada, Angel Fernando, Capelli, Simone, Capriotti, Lorenzo, Carbone, Angelo, Cardinale, Roberta, Cardini, Alessandro, Carniti, Paolo, Carus, Leon David, Casais Vidal, Adrian, Caspary, Rowina, Casse, Gianluigi, Cattaneo, Marco, Cavallero, Giovanni, Cavallini, Viola, Celani, Sara, Cerasoli, Jacopo, Cervenkov, Daniel, Chadwick, Abbie Jane, Chahrour, Ibrahim, Chapman, Matthew George, Charles, Matthew, Charpentier, Philippe, Chavez Barajas, Carlos Alberto, Chefdeville, Maximilien, Chen, Chen, Chen, Shanzhen, Chernov, Aleksei, Chernyshenko, Serhii, Chobanova, Veronika, Cholak, Serhii, Chrzaszcz, Marcin, Chubykin, Aleksei, Chulikov, Vladimir, Ciambrone, Paolo, Cicala, Maria Flavia, Cid Vidal, Xabier, Ciezarek, Gregory, Cifra, Pierfrancesco, Clarke, Peter, Clemencic, Marco, Cliff, Harry, Closier, Joel, Cobbledick, John Leslie, Coco, Victor, Cogan, Julien, Cogneras, Eric, Cojocariu, Lucian, Collins, Paula, Colombo, Tommaso, Congedo, Liliana, Contu, Andrea, Cooke, Naomi, Corredoira, Imanol, Corti, Gloria, Couturier, Benjamin, Craik, Daniel Charles, Cruz Torres, Melissa Maria, Currie, Robert, Da Silva, Cesar Luiz, Dadabaev, Shakhzod, Dai, Lingyun, Dai, Xinchen, Dall'Occo, Elena, Dalseno, Jeremy, D'Ambrosio, Carmelo, Daniel, Jessy, Danilina, Anna, d'Argent, Philippe, Davies, Jonathan Edward, Davis, Adam, De Aguiar Francisco, Oscar, de Boer, Jan, De Bruyn, Kristof, De Capua, Stefano, De Cian, Michel, De Freitas Carneiro Da Graca, Ulisses, De Lucia, Erika, De Miranda, Jussara, De Paula, Leandro, De Serio, Marilisa, De Simone, Dario, De Simone, Patrizia, De Vellis, Fabio, de Vries, Jacco, Dean, Cameron Thomas, Debernardis, Francesco, Decamp, Daniel, Dedu, Vlad-George, Del Buono, Luigi, Delaney, Blaise, Dembinski, Hans Peter, Denysenko, Vadym, Deschamps, Olivier, Dettori, Francesco, Dey, Biplab, Di Nezza, Pasquale, Diachkov, Igor, Didenko, Sergey, Dieste Maronas, Lorena, Ding, Shuchong, Dobishuk, Vasyl, Dolmatov, Aleksandr, Dong, Chenzhi, Donohoe, Amanda May, Dordei, Francesca, dos Reis, Alberto, Douglas, Lauren, Downes, Anthony Gavin, Duda, Piotr Jakub, Dudek, Maciej Wojciech, Dufour, Laurent, Duk, Viacheslav, Durante, Paolo, Duras, Maciej, Durham, John Matthew, Dutta, Deepanwita, Dziurda, Agnieszka, Dzyuba, Alexey, Easo, Sajan, Egede, Ulrik, Egorychev, 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- Subjects
Particle Physics - Experiment - Abstract
A flavor-tagged time-dependent angular analysis of the decay $B_s^{0} \rightarrow \phi\phi$ is performed using $pp$ collision data collected by the LHCb experiment at the center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6fb$^{-1}$. The CP-violating phase and direct CP-violation parameter are measured to be $\phi_s^{s\bar{s}s} = -0.042 \pm 0.075 \pm 0.009 $ rad and $|\lambda|=1.004\pm 0.030 \pm 0.009 $, respectively, assuming the same values for all polarization states of the $\phi\phi$ system. In these results, the first uncertainties are statistical and the second systematic. These parameters are also determined separately for each polarization state, showing no evidence for polarization dependence. The results are combined with previous LHCb measurements using $pp$ collisions at center-of-mass energies of 7 and 8 TeV, yielding $\phi_s^{s\bar{s}s} = -0.074 \pm 0.069 $ rad and $|\lambda|=1.009 \pm 0.030$. This is the most precise study of time-dependent CP violation in a penguin-dominated $B$ meson decay. The results are consistent with CP symmetry and with the Standard Model predictions. A flavor-tagged time-dependent angular analysis of the decay $B_s^{0}\rightarrow\phi\phi$ is performed using $pp$ collision data collected by the LHCb experiment at $\sqrt{s}=13$ TeV, the center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6 fb^{-1}. The $\it{CP}$-violating phase and direct $\it{CP}$-violation parameter are measured to be $\phi_{s\bar{s}s} = -0.042 \pm 0.075 \pm 0.009 $ rad and $|\lambda|=1.004\pm 0.030 \pm 0.009 $, respectively, assuming the same values for all polarization states of the $\phi\phi$ system. In these results, the first uncertainties are statistical and the second systematic. These parameters are also determined separately for each polarization state, showing no evidence for polarization dependence. The results are combined with previous LHCb measurements using $pp$ collisions at center-of-mass energies of 7 and 8 TeV, yielding $\phi_{s\bar{s}s} = -0.074 \pm 0.069 $ rad and $|\lambda|=1.009 \pm 0.030$. This is the most precise study of time-dependent $\it{CP} $ violation in a penguin-dominated $B$ meson decay. The results are consistent with $\it{CP} $ symmetry and with the Standard Model predictions.
- Published
- 2023
17. Precision measurement of $\it{CP} $ violation in the penguin-mediated decay $B_s^{0}\rightarrow\phi\phi$
- Author
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Aaij, Roel, Abdelmotteleb, Ahmed Sameh Wagih, Abellan Beteta, Carlos, Abudinén, Fernando Jesus, Ackernley, Thomas, Adeva, Bernardo, Adinolfi, Marco, Adlarson, Patrik Harri, Afsharnia, Hossein, Agapopoulou, Christina, Aidala, Christine Angela, Ajaltouni, Ziad, Akar, Simon, Akiba, Kazuyoshi, Albicocco, Pietro, Albrecht, Johannes, Alessio, Federico, Alexander, Michael, Alfonso Albero, Alejandro, Aliouche, Zakariya, Alvarez Cartelle, Paula, Amalric, Renaud, Amato, Sandra, Amey, Jake Lewis, Amhis, Yasmine, An, Liupan, Anderlini, Lucio, Andersson, Martin, Andreianov, Aleksei, Andreotti, Mirco, Andreou, Dimitra, Ao, Dong, Archilli, Flavio, Artamonov, Alexander, Artuso, Marina, Aslanides, Elie, Atzeni, Michele, Audurier, Benjamin, Bachiller Perea, Irene, Bachmann, Sebastian, Bachmayer, Marie, Back, John, Bailly-Reyre, Aurelien, Baladron Rodriguez, Pablo, Balagura, Vladislav, Baldini, Wander, Baptista de Souza Leite, Juan, Barbetti, Matteo, Barlow, Roger, Barsuk, Sergey, Barter, William, Bartolini, Matteo, Baryshnikov, Fedor, Basels, Jan-Marc, Bassi, Giovanni, Batozskaya, Varvara, Batsukh, Baasansuren, Battig, Alexander, Bay, Aurelio, Beck, Anja, Becker, Maik, Bedeschi, Franco, Bediaga, Ignacio, Beiter, Andrew, Belin, Samuel, Bellee, Violaine, Belous, Konstantin, Belov, Ilia, Belyaev, Ivan, Benane, Gaya, Bencivenni, Giovanni, Ben-Haim, Eli, Berezhnoy, Alexander, Bernet, Roland, Bernet Andres, Sergi, Berninghoff, Daniel, Bernstein, Harris Conan, Bertella, Claudia, Bertolin, Alessandro, Betancourt, Christopher, Betti, Federico, Bezshyiko, Iaroslava, Bhom, Jihyun, Bian, Lingzhu, Bieker, Martin Stefan, Biesuz, Nicolo Vladi, Billoir, Pierre, Biolchini, Alice, Birch, Matthew, Bishop, Fionn Caitlin Ros, Bitadze, Alexander, Bizzeti, Andrea, Blago, Michele Piero, Blake, Thomas, Blanc, Frederic, Blank, Jonah Evan, Blusk, Steven, Bobulska, Dana, Bocharnikov, Vladimir, Boelhauve, Julian Alexander, Boente Garcia, Oscar, Boettcher, Thomas, Boldyrev, Alexey, Bolognani, Carolina, Bolzonella, Riccardo, Bondar, Nikolay, Borgato, Federica, Borghi, Silvia, Borsato, Martino, Borsuk, Jozef Tomasz, Bouchiba, Sonia Amina, Bowcock, Themistocles, Boyer, Alexandre, Bozzi, Concezio, Bradley, Matthew John, Braun, Svende, Brea Rodriguez, Alexandre, Breer, Nils, Brodzicka, Jolanta, Brossa Gonzalo, Arnau, Brown, James David, Brundu, Davide, Buonaura, Annarita, Buonincontri, Laura, Burke, Aodhan Tomas, Burr, Christopher, Bursche, Albert, Butkevich, Anatoly, Butter, Jordy Sebastiaan, Buytaert, Jan, Byczynski, Wiktor, Cadeddu, Sandro, Cai, Hao, Calabrese, Roberto, Calefice, Lukas, Cali, Stefano, Calvi, Marta, Calvo Gomez, Miriam, Campana, Pierluigi, Campora Perez, Daniel Hugo, Campoverde Quezada, Angel Fernando, Capelli, Simone, Capriotti, Lorenzo, Carbone, Angelo, Cardinale, Roberta, Cardini, Alessandro, Carniti, Paolo, Carus, Leon David, Casais Vidal, Adrian, Caspary, Rowina, Casse, Gianluigi, Cattaneo, Marco, Cavallero, Giovanni, Cavallini, Viola, Celani, Sara, Cerasoli, Jacopo, Cervenkov, Daniel, Chadwick, Abbie Jane, Chahrour, Ibrahim, Chapman, Matthew George, Charles, Matthew, Charpentier, Philippe, Chavez Barajas, Carlos Alberto, Chefdeville, Maximilien, Chen, Chen, Chen, Shanzhen, Chernov, Aleksei, Chernyshenko, Serhii, Chobanova, Veronika, Cholak, Serhii, Chrzaszcz, Marcin, Chubykin, Aleksei, Chulikov, Vladimir, Ciambrone, Paolo, Cicala, Maria Flavia, Cid Vidal, Xabier, Ciezarek, Gregory, Cifra, Pierfrancesco, Clarke, Peter, Clemencic, Marco, Cliff, Harry, Closier, Joel, Cobbledick, John Leslie, Coco, Victor, Cogan, Julien, Cogneras, Eric, Cojocariu, Lucian, Collins, Paula, Colombo, Tommaso, Congedo, Liliana, Contu, Andrea, Cooke, Naomi, Corredoira, Imanol, Corti, Gloria, Couturier, Benjamin, Craik, Daniel Charles, Cruz Torres, Melissa Maria, Currie, Robert, da Silva, Cesar Luiz, Dadabaev, Shakhzod, Dai, Lingyun, Dai, Xinchen, Dall'Occo, Elena, Dalseno, Jeremy, d'Ambrosio, Carmelo, Daniel, Jessy, Danilina, Anna, d'Argent, Philippe, Davies, Jonathan Edward, Davis, Adam, de Aguiar Francisco, Oscar, de Boer, Jan, de Bruyn, Kristof, de Capua, Stefano, de Cian, Michel, de Freitas Carneiro da Graca, Ulisses, de Lucia, Erika, de Miranda, Jussara, de Paula, Leandro, de Serio, Marilisa, de Simone, Dario, de Simone, Patrizia, de Vellis, Fabio, de Vries, Jacco, Dean, Cameron Thomas, Debernardis, Francesco, Decamp, Daniel, Dedu, Vlad-George, del Buono, Luigi, Delaney, Blaise, Dembinski, Hans Peter, Denysenko, Vadym, Deschamps, Olivier, Dettori, Francesco, Dey, Biplab, Di Nezza, Pasquale, Diachkov, Igor, Didenko, Sergey, Dieste Maronas, Lorena, Ding, Shuchong, Dobishuk, Vasyl, Dolmatov, Aleksandr, Dong, Chenzhi, Donohoe, Amanda May, Dordei, Francesca, dos Reis, Alberto, Douglas, Lauren, Downes, Anthony Gavin, Duda, Piotr Jakub, Dudek, Maciej Wojciech, Dufour, Laurent, Duk, Viacheslav, Durante, Paolo, Duras, Maciej, Durham, John Matthew, Dutta, Deepanwita, Dziurda, Agnieszka, Dzyuba, Alexey, Easo, Sajan, Egede, Ulrik, Egorychev, Artem, Egorychev, Victor, Eirea Orro, Caetano, Eisenhardt, Stephan, Ejopu, Enoch, Ek-In, Surapat, Eklund, Lars, Elashri, Mohamed, Ellbracht, Jan Hendrik, Ely, Scott, Ene, Alexandru, Epple, Eliane, Escher, Stephan, Eschle, Jonas Nathanael, Esen, Sevda, Evans, Timothy, Fabiano, Federica, Falcao, Lucas, Fan, Yanting, Fang, Bo, Fantini, Lisa, Faria, Maria, Farry, Stephen, Fazzini, Davide, Felkowski, Lukasz Jerzy, Feo, Mauricio, Fernandez Gomez, Miguel, Fernez, Alex Daniel, Ferrari, Fabio, Ferreira Lopes, Lino, Ferreira Rodrigues, Fernando, Ferreres Sole, Silvia, Ferrillo, Martina, Ferro-Luzzi, Massimiliano, Filippov, Sergey, Fini, Rosa Anna, Fiorini, Massimiliano, Firlej, Miroslaw, Fischer, Kamil Leszek, Fitzgerald, Dillon Scott, Fitzpatrick, Conor, Fiutowski, Tomasz, Fleuret, Frederic, Fontana, Marianna, Fontanelli, Flavio, Forty, Roger, Foulds-Holt, Daniel, Franco Lima, Vinicius, Franco Sevilla, Manuel, Frank, Markus, Franzoso, Edoardo, Frau, Giulia, Frei, Christoph, Friday, David Anthony, Frontini, Luca, Fu, Jinlin, Fuehring, Quentin, Fulghesu, Tommaso, Gabriel, Emmy, Galati, Giuliana, Galati, Maria Domenica, Gallas Torreira, Abraham, Galli, Domenico, Gambetta, Silvia, Gandelman, Miriam, Gandini, Paolo, Gao, Han, Gao, Rui, Gao, Yang, Gao, Yuanning, Garau, Michela, Garcia Martin, Luis Miguel, Garcia Moreno, Paula, García Pardiñas, Julián, Garcia Plana, Beatriz, Garcia Rosales, Felipe Andres, Garrido, Lluis, Gaspar, Clara, Geertsema, Robbert Erik, Gerick, David, Gerken, Louis Lenard, Gersabeck, Evelina, Gersabeck, Marco, Gershon, Timothy, Giambastiani, Luca, Gibson, Valerie, Giemza, Henryk Karol, Gilman, Alexander Leon, Giovannetti, Matteo, Gioventù, Alessandra, Gironella Gironell, Pere, Giugliano, Carmen, Giza, Maciej Artur, Gizdov, Konstantin, Gkougkousis, Evangelos Leonidas, Gligorov, Vladimir, Göbel, Carla, Golobardes, Elisabet, Golubkov, Dmitry, Golutvin, Andrey, Gomes, Alvaro, Gomez Fernandez, Sergio, Goncalves Abrantes, Fernanda, Goncerz, Mateusz, Gong, Guanghua, Gorelov, Igor Vladimirovich, Gotti, Claudio, Grabowski, Jascha Peter, Grammatico, Thomas, Granado Cardoso, Luis Alberto, Graugés, Eugeni, Graverini, Elena, Graziani, Giacomo, Grecu, Alexandru Tudor, Greeven, Lex Marinus, Grieser, Nathan Allen, Grillo, Lucia, Gromov, Sergey, Gu, Chenxi, Guarise, Marco, Guittiere, Manuel, Guliaeva, Vasilisa, Günther, Paul Andre, Guseinov, Abdul-Kerim, Gushchin, Evgeny, Guz, Yury, Gys, Thierry, Hadavizadeh, Thomas, Hadjivasiliou, Christos, Haefeli, Guido, Haen, Christophe, Haimberger, Jakob, Haines, Susan, Halewood-Leagas, Tabitha, Halvorsen, Marius Maehlum, Hamilton, Phoebe Meredith, Hammerich, Jan, Han, Qundong, Han, Xiaoxue, Hansmann-Menzemer, Stephanie, Harnew, Neville, Harrison, Thomas, Hasse, Christoph, Hatch, Mark, He, Jibo, Heijhoff, Kevin, Hemmer, Frederic, Henderson, Conor, Henderson, Riley Dylan Leslie, Hennequin, Arthur Marius, Hennessy, Karol, Henry, Louis, Herd, James Daniel, Heuel, Johannes, Hicheur, Adlène, Hill, Donal, Hilton, Martha, Hollitt, Sophie, Horswill, Joshua Ethan, Hou, Ruiwen, Hou, Yingrui, Hu, Jiangqiao, Hu, Jifeng, Hu, Wenhua, Hu, Xiaofan, Huang, Wenqian, Huang, Xiaotao, Hulsbergen, Wouter, Hunter, Ross John, Hushchyn, Mikhail, Hutchcroft, David, Ibis, Philipp, Idzik, Marek, Ilin, Dmitrii, Ilten, Philip, Inglessi, Alexander, Iniukhin, Aleksandr, Ishteev, Artur, Ivshin, Kuzma, Jacobsson, Richard, Jage, Hendrik, Jaimes Elles, Sergio Javier, Jakobsen, Sune, Jans, Eddy, Jashal, Brij Kishor, Jawahery, Abolhassan, Jevtic, Vukan, Jiang, Emily Kaiyin, Jiang, Xiaojie, Jiang, Yi, John, Malcolm, Johnson, Daniel, Jones, Christopher, Jones, Thomas Peter, Joshi, Salil, Jost, Beat, Jurik, Nathan, Juszczak, Izabela, Kandybei, Sergii, Kang, Youen, Karacson, Matthias, Karpenkov, Dmitrii, Karpov, Maksim, Kautz, Jacob William, Keizer, Floris, Keller, Dustin Michael, Kenzie, Matthew, Ketel, Tjeerd, Khanji, Basem, Kharisova, Anastasiia, Kholodenko, Sergei, Khreich, Gaelle, Kirn, Thomas, Kirsebom, Veronica Soelund, Kitouni, Ouail, Klaver, Suzanne, Kleijne, Nico, Klimaszewski, Konrad, Kmiec, Mateusz Rafal, Koliiev, Serhii, Kolk, Lars, Kondybayeva, Almagul, Konoplyannikov, Anatoly, Kopciewicz, Pawel, Kopecna, Renata, Koppenburg, Patrick, Korolev, Mikhail, Kostiuk, Igor, Kot, Oleksander, Kotriakhova, Sofia, Kozachuk, Anastasiia, Kravchenko, Polina, Kravchuk, Leonid, Kreps, Michal, Kretzschmar, Sophie Katharina, Krokovny, Pavel, Krupa, Wojciech, Krzemien, Wojciech, Kubat, Jakub, Kubis, Sebastian Antoni, Kucewicz, Wojciech, Kucharczyk, Marcin, Kudryavtsev, Vasily, Kulikova, Evgenia, Kupsc, Andrzej, Lacarrere, Daniel, Lafferty, George, Lai, Adriano, Lampis, Andrea, Lancierini, Davide, Landesa Gomez, Clara, Lane, John Jake, Lane, Richard, Langenbruch, Christoph, Langer, Jan, Lantwin, Oliver, Latham, Thomas, Lazzari, Federico, Lazzeroni, Cristina, Le Gac, Renaud, Lee, Sook Hyun, Lefèvre, Regis, Leflat, Alexander, Legotin, Sergey, Leroy, Olivier, Lesiak, Tadeusz, Leverington, Blake, Li, Anfeng, Li, Hengne, Li, Kechen, Li, Peilian, Li, Pei-Rong, Li, Shiyang, Li, Tiange, Li, Tianqi, Li, Yiming, Li, Zhuoming, Liang, Xixin, Lin, Chuangxin, Lin, Tai-Hua, Lindner, Rolf, Lisovskyi, Vitalii, Litvinov, Roman, Liu, Guoming, Liu, Huanhuan, Liu, Kai, Liu, Qian, Liu, Shuaiyi, Lobo Salvia, Aniol, Loi, Angelo, Lollini, Riccardo, Lomba Castro, Julian, Longstaff, Iain, Lopes, Jose, Lopez Huertas, Albert, López Soliño, Saúl, Lovell, George Holger, Lu, Yu, Lucarelli, Chiara, Lucchesi, Donatella, Luchuk, Stanislav, Lucio Martinez, Miriam, Lukashenko, Valeriia, Luo, Yiheng, Lupato, Anna, Luppi, Eleonora, Lynch, Kate, Lyu, Xiao-Rui, Ma, Ruiting, Maccolini, Serena, Machefert, Frederic, Maciuc, Florin, Mackay, Innes, Macko, Vladimir, Madhan Mohan, Lakshan Ram, Maevskiy, Artem, Maisuzenko, Dmitrii, Majewski, Maciej Witold, Malczewski, Jakub Jacek, Malde, Sneha, Malecki, Bartosz, Malinin, Alexander, Maltsev, Timofei, Manca, Giulia, Mancinelli, Giampiero, Mancuso, Chiara, Manera Escalero, Rafel, Manuzzi, Daniele, Manzari, Claudio Andrea, Marangotto, Daniele, Maratas, Jan Mickelle, Marchand, Jean François, Marconi, Umberto, Mariani, Saverio, Marin Benito, Carla, Marks, Jörg, Marshall, Alexander Mclean, Marshall, Phillip John, Martelli, Gabriele, Martellotti, Giuseppe, Martinazzoli, Loris, Martinelli, Maurizio, Martinez Santos, Diego, Martinez Vidal, Fernando, Massafferri, André, Materok, Marcel, Matev, Rosen, Mathad, Abhijit, Matiunin, Viacheslav, Matteuzzi, Clara, Mattioli, Kara Renee, Mauri, Andrea, Maurice, Emilie, Mauricio, Joan, Mazurek, Michal, Mccann, Michael, Mcconnell, Lucas, Mcgrath, Tamaki Holly, Mchugh, Niall Thomas, Mcnab, Andrew, Mcnulty, Ronan, Meadows, Brian, Meier, Gerwin, Melnychuk, Dmytro, Meloni, Simone, Merk, Marcel, Merli, Andrea, Meyer Garcia, Lucas, Miao, Dexing, Miao, Han, Mikhasenko, Mikhail, Milanes, Diego Alejandro, Milovanovic, Marko, Minard, Marie-Noelle, Minotti, Alessandro, Minucci, Elisa, Miralles, Tristan, Mitchell, Sara Elizabeth, Mitreska, Biljana, Mitzel, Dominik Stefan, Modak, Atanu, Mödden, Antje, Mohammed, Rizwaan Adeeb, Moise, Razvan-Daniel, Mokhnenko, Sergei, Mombächer, Titus, Monk, Matthew David, Monroy, Igancio Alberto, Monteil, Stephane, Morello, Gianfranco, Morello, Michael Joseph, Morgenthaler, Maurice Pierre, Moron, Jakub, Morris, Adam Benjamin, Morris, Andrew George, Mountain, Raymond, Mu, Hongjie, Muhammad, Emir, Muheim, Franz, Mulder, Mick, Müller, Katharina, Murray, Donal, Murta, Rebecca, Muzzetto, Piera, Naik, Paras, Nakada, Tatsuya, Nandakumar, Raja, Nanut, Tara, Nasteva, Irina, Needham, Matthew, Neri, Nicola, Neubert, Sebastian, Neufeld, Niko, Neustroev, Petr, Newcombe, Ryan, Nicolini, Janina, Nicotra, Davide, Niel, Elisabeth Maria, Nieswand, Simon, Nikitin, Nikolay, Nolte, Niklas Stefan, Normand, Camille, Novoa Fernandez, Julio, Nowak, Gabriel Matthew, Nunez, Cynthia, Oblakowska-Mucha, Agnieszka, Obraztsov, Vladimir, Oeser, Thomas, Okamura, Shinichi, Oldeman, Rudolf, Oliva, Federica, Onderwater, Gerco, O'Neil, Ryunosuke Hugo, Otalora Goicochea, Juan Martin, Ovsiannikova, Tatiana, Owen, Patrick, Oyanguren, Maria Aranzazu, Ozcelik, Ozlem, Padeken, Klaas Ole, Pagare, Bhagyashree, Pais, Preema Rennee, Pajero, Tommaso, Palano, Antimo, Palutan, Matteo, Panshin, Gennady, Paolucci, Lorenzo, Papanestis, Antonios, Pappagallo, Marco, Pappalardo, Luciano, Pappenheimer, Cheryl, Parker, William, Parkes, Christopher, Passalacqua, Barbara, Passaleva, Giovanni, Pastore, Alessandra, Patel, Mitesh, Patrignani, Claudia, Pawley, Christopher James, Pellegrino, Antonio, Pepe Altarelli, Monica, Perazzini, Stefano, Pereima, Dmitrii, Pereiro Castro, Asier, Perret, Pascal, Petridis, Konstantinos, Petrolini, Alessandro, Petrucci, Stefano, Petruzzo, Marco, Pham, Hang, Philippov, Anton, Piandani, Roberto, Pica, Lorenzo, Piccini, Mauro, Pietrzyk, Boleslaw, Pietrzyk, Guillaume, Pinci, Davide, Pisani, Flavio, Pizzichemi, Marco, Placinta, Vlad-Mihai, Plews, Jonathan, Plo Casasus, Maximo, Polci, Francesco, Poli Lener, Marco, Poluektov, Anton, Polukhina, Natalia, Polyakov, Ivan, Polycarpo, Erica, Ponce, Sebastien, Popov, Dmitry, Poslavskii, Stanislav, Prasanth, Kodassery, Promberger, Laura, Prouve, Claire, Pugatch, Valery, Puill, Veronique, Punzi, Giovanni, Qi, Hongrong, Qian, Wenbin, Qin, Ning, Qu, Sanqiang, Quagliani, Renato, Raab, Naomi Veronika, Rachwal, Bartlomiej, Rademacker, Jonas, Rajagopalan, Rohan, Rama, Matteo, Ramos Pernas, Miguel, Rangel, Murilo, Ratnikov, Fedor, Raven, Gerhard, Rebollo de Miguel, Miguel, Redi, Federico, Reich, Jake, Reiss, Florian, Ren, Zan, Resmi, P.K, Ribatti, Roberto, Ricci, Alessandro Maria, Ricciardi, Stefania, Richardson, Kate Abigail, Richardson-Slipper, Mary, Rinnert, Kurt, Robbe, Patrick, Robertson, Gary, Rodrigues, Eduardo, Rodriguez Fernandez, Emilio Xose, Rodriguez Lopez, Jairo Alexis, Rodriguez Rodriguez, Efren, Rolf, David Leonhard, Rollings, Alexandra Paige, Roloff, Philipp, Romanovskiy, Vladimir, Romero Lamas, Marcos, Romero Vidal, Antonio, Rotondo, Marcello, Rudolph, Matthew Scott, Ruf, Thomas, Ruiz Fernandez, Ramon Angel, Ruiz Vidal, Joan, Ryzhikov, Artem, Ryzka, Jakub, Saborido Silva, Juan Jose, Sagidova, Naylya, Sahoo, Niladribihari, Saitta, Biagio, Salomoni, Matteo, Sanchez Gras, Cristina, Sanderswood, Izaac, Santacesaria, Roberta, Santamarina Rios, Cibran, Santimaria, Marco, Santoro, Leonardo, Santovetti, Emanuele, Saranin, Danila, Sarpis, Gediminas, Sarpis, Mindaugas, Sarti, Alessio, Satriano, Celestina, Satta, Alessia, Saur, Miroslav, Savrina, Darya, Sazak, Halime, Scantlebury Smead, Luke George, Scarabotto, Alessandro, Schael, Stefan, Scherl, Sigrid, Schertz, Amy Marie, Schiller, Manuel, Schindler, Heinrich, Schmelling, Michael, Schmidt, Burkhard, Schmitt, Sebastian, Schneider, Olivier, Schopper, Andreas, Schubiger, Maxime, Schulte, Nicole, Schulte, Sebastian, Schune, Marie Helene, Schwemmer, Rainer, Schwering, Georg, Sciascia, Barbara, Sciuccati, Augusto, Sellam, Sara, Semennikov, Alexander, Senghi Soares, Mara, Sergi, Antonino, Serra, Nicola, Sestini, Lorenzo, Seuthe, Alex, Shang, Yiduo, Shangase, Desmond Mzamo, Shapkin, Mikhail, Shchemerov, Ivan, Shchutska, Lesya, Shears, Tara, Shekhtman, Lev, Shen, Zhihong, Sheng, Shuqi, Shevchenko, Vladimir, Shi, Boan, Shields, Edward Brendan, Shimizu, Yuya, Shmanin, Evgenii, Shorkin, Roman, Shupperd, Joseph David, Siddi, Benedetto Gianluca, Silva Coutinho, Rafael, Simi, Gabriele, Simone, Saverio, Singla, Minni, Skidmore, Nicola, Skuza, Raphael, Skwarnicki, Tomasz, Slater, Mark, Smallwood, Jennifer Clare, Smeaton, John Gordon, Smith, Eluned, Smith, Krista Lizbeth, Smith, Mark, Snoch, Aleksandra, Soares Lavra, Lais, Sokoloff, Michael, Soler, Paul, Solomin, Anatoly, Solovev, Aleksandr, Solovyev, Ivan, Song, Rongrong, Souza de Almeida, Felipe Luan, Souza de Paula, Bruno, Spadaro Norella, Elisabetta, Spedicato, Eugenia, Speer, Jannis Guido, Spiridenkov, Eduard, Spradlin, Patrick, Sriskaran, Viros, Stagni, Federico, Stahl, Marian, Stahl, Sascha, Stanislaus, Seophine, Stein, Eloise Noelle, Steinkamp, Olaf, Stenyakin, Oleg, Stevens, Holger, Strekalina, Daria, Su, Yangjie, Suljik, Fidan, Sun, Jiayin, Sun, Liang, Sun, Yipeng, Swallow, Paul Nathaniel, Swientek, Krzysztof, Szabelski, Adam, Szumlak, Tomasz, Szymanski, Maciej Pawel, Tan, Yinghua, Taneja, Shantam, Tat, Martin Duy, Terentev, Aleksandr, Teubert, Frederic, Thomas, Eric, Thompson, Daniel James David, Tilquin, Hanae, Tisserand, Vincent, t'Jampens, Stephane, Tobin, Mark, Tomassetti, Luca, Tonani, Giorgia, Tong, Xingyu, Torres Machado, Diego, Toscano, Luca, Tou, da Yu, Trippl, Carina, Tuci, Giulia, Tuning, Niels, Ukleja, Artur, Unverzagt, Daniel Joachim, Usachov, Andrii, Ustyuzhanin, Andrey, Uwer, Ulrich, Vagnoni, Vincenzo, Valassi, Andrea, Valenti, Giovanni, Valls Canudas, Nuria, van Dijk, Maarten, van Hecke, Hubert, van Herwijnen, Eric, van Hulse, Charlotte Barbara, van Veghel, Maarten, Vazquez Gomez, Ricardo, Vazquez Regueiro, Pablo, Vázquez Sierra, Carlos, Vecchi, Stefania, Velthuis, Jaap, Veltri, Michele, Venkateswaran, Aravindhan, Vesterinen, Mika, Vieira, Daniel, Vieites Diaz, Maria, Vilasis-Cardona, Xavier, Vilella Figueras, Eva, Villa, Andrea, Vincent, Pascal, Volle, Felicia Carolin, Vom Bruch, Dorothea, Vorobyev, Vitaly, Voropaev, Nikolai, Vos, Kimberley, Vrahas, Constantinos, Walsh, John, Walton, Eliot Jane, Wan, Guanyue, Wang, Chishuai, Wang, Ganrong, Wang, Jialu, Wang, Jianchun, Wang, Jianqiao, Wang, Jike, Wang, Mengzhen, Wang, Rui, Wang, Xiaolin, Wang, Yilong, Wang, Zhenzi, Wang, Zirui, Wang, Ziyi, Ward, Jake Alexander, Watson, Nigel, Websdale, David, Wei, Yajing, Westhenry, Benedict Donald C, White, Dylan Jaide, Whitehead, Mark, Wiederhold, Aidan Richard, Wiedner, Dirk, Wilkinson, Guy, Wilkinson, Michael K, Williams, Ifan, Williams, Mike, Williams, Mark Richard James, Williams, Richard Morgan, Wilson, Fergus, Wislicki, Wojciech, Witek, Mariusz, Witola, Lukas, Wong, Cheuk Ping, Wormser, Guy, Wotton, Stephen, Wu, Hangyi, Wu, Jie, Wu, Yanxi, Wyllie, Kenneth, Xiang, Zhiyu, Xie, Yuehong, Xu, Ao, Xu, Jingyi, Xu, Li, Xu, Liangjun, Xu, Menglin, Xu, Qingnian, Xu, Zehua, Xu, Zhihao, Xu, Zijun, Yang, Di, Yang, Shuangli, Yang, Xueting, Yang, Youhua, Yang, Zhenwei, Yang, Zishuo, Yeroshenko, Vsevolod, Yeung, Ho Yin Dereck, Yin, Hang, Yu, Jiesheng, Yuan, Xuhao, Zaffaroni, Ettore, Zavertyaev, Mikhail, Zdybal, Milosz, Zeng, Ming, Zhang, Chenjia, Zhang, Dongliang, Zhang, Jianyu, Zhang, Liming, Zhang, Shulei, Zhang, Shunan, Zhang, Yanxi, Zhang, Yu, Zhao, Ya, Zharkova, Alina, Zhelezov, Alexey, Zheng, Yangheng, Zhou, Tianwen, Zhou, Xiaokang, Zhou, Yixiong, Zhovkovska, Valeriia, Zhu, Xianglei, Zhu, Xiaoyu, Zhu, Zhanwen, Zhukov, Valery, Zhuo, Jiahui, Zou, Quan, Zucchelli, Stefano, Zuliani, Davide, Zunica, Gianluca, Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and LHCb
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p p: scattering ,Phi(1020): pair production ,precision measurement ,13000 GeV-cms ,+2Phi%281020%29%22">B/s0 --> 2Phi(1020) ,amplitude analysis: penguin ,asymmetry: time dependence ,LHC-B ,asymmetry: CP ,scattering amplitude: interference ,High Energy Physics - Experiment ,polarization: dependence ,B/s0 anti-B/s0: mixing ,error: statistical ,CERN LHC Coll ,B/s0: hadronic decay ,CP: violation ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,p p: colliding beams ,B/s0: rare decay ,experimental results - Abstract
A flavor-tagged time-dependent angular analysis of the decay $B_s^{0}\rightarrow\phi\phi$ is performed using $pp$ collision data collected by the LHCb experiment at $\sqrt{s}=13$ TeV, the center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6 fb^{-1}. The $\it{CP}$-violating phase and direct $\it{CP}$-violation parameter are measured to be $\phi_{s\bar{s}s} = -0.042 \pm 0.075 \pm 0.009 $ rad and $|\lambda|=1.004\pm 0.030 \pm 0.009 $, respectively, assuming the same values for all polarization states of the $\phi\phi$ system. In these results, the first uncertainties are statistical and the second systematic. These parameters are also determined separately for each polarization state, showing no evidence for polarization dependence. The results are combined with previous LHCb measurements using $pp$ collisions at center-of-mass energies of 7 and 8 TeV, yielding $\phi_{s\bar{s}s} = -0.074 \pm 0.069 $ rad and $|\lambda|=1.009 \pm 0.030$. This is the most precise study of time-dependent $\it{CP} $ violation in a penguin-dominated $B$ meson decay. The results are consistent with $\it{CP} $ symmetry and with the Standard Model predictions., Comment: All figures and tables, along with any supplementary material and additional information, are available at https://cern.ch/lhcbproject/Publications/p/LHCb-PAPER-2023-001.html (LHCb public pages)
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- 2023
18. Effect of corneal stiffness decrease on axial length elongation in myopia determined based on a mathematical estimation model
- Author
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Ren, Qi, Chu, Zhe, Cui, Wei, Cheng, Lu, Su, Wenjie, Cheng, Hao, and Wu, Jie
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Histology ,Biomedical Engineering ,Bioengineering ,Biotechnology - Abstract
Purpose: To investigate the relationship between the corneal material stiffness parameter stress-strain index (SSI) and axial length (AL) elongation with varying severities of myopia, based on a mathematical estimation model.Methods: This single-center, cross-sectional study included data from healthy subjects and patients preparing for refractive surgery in the Qingdao Eye Hospital of Shandong First Medical University. Data were collected from July 2021 to April 2022. First, we performed and tested an estimated AL model (ALMorgan) based on the mathematical equation proposed by Morgan. Second, we proposed an axial increment model (ΔAL) corresponding to spherical equivalent error (SER) based on ALemmetropia (ALMorgan at SER = 0) and subject’s real AL. Finally, we evaluated the variations of ΔAL with SSI changes based on the mathematical estimation model.Results: We found that AL was closely associated with ALMorgan (r = 0.91, t = 33.8, p < 0.001) with good consistency and SER was negatively associated with ΔAL (r = −0.89, t = −30.7, p < 0.001). The association of SSI with AL, ALemmetropia, and ΔAL can be summarized using the following equations: AL=27.7−2.04×SSI, ALemmetropia=23.2+0.561×SSI, and ΔAL=4.52−2.6×SSI. In adjusted models, SSI was negatively associated with AL (Model 1: β = −2.01, p < 0.001) and ΔAL (Model 3: β = −2.49, p < 0.001) but positively associated with ALemmetropia (Model 2: β = 0.48, p < 0.05). In addition, SSI was negatively associated with ΔAL among subjects with AL ≥ 26 mm (β = −1.36, p = 0.02).Conclusion: AL increased with decreasing SSI in myopia.
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- 2023
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19. An altered extracellular matrix-integrin interface contributes to Huntington's disease-associated CNS dysfunction in glial and vascular cells
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Hernandez, Sarah J, Lim, Ryan G, Onur, Tarik, Dane, Mark A, Smith, Rebecca, Wang, Keona, Jean, Grace En-Hway, Reyes-Ortiz, Andrea, Devlin, Kaylyn, Miramontes, Ricardo, Wu, Jie, Casale, Malcolm, Kilburn, David, Heiser, Laura M, Korkola, James E, Van Vactor, David, Botas, Juan, Thompson-Peer, Katherine L, and Thompson, Leslie M
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Huntington's Disease ,Genetics & Heredity ,Integrins ,Stem Cell Research - Induced Pluripotent Stem Cell ,Neurosciences ,Endothelial Cells ,Neurodegenerative ,Biological Sciences ,Stem Cell Research ,Cardiovascular ,Medical and Health Sciences ,Extracellular Matrix ,Brain Disorders ,Huntington Disease ,Rare Diseases ,Blood-Brain Barrier ,Neurological ,Humans ,2.1 Biological and endogenous factors ,Aetiology ,Neuroglia - Abstract
Astrocytes and brain endothelial cells are components of the neurovascular unit that comprises the blood-brain barrier (BBB) and their dysfunction contributes to pathogenesis in Huntington's disease (HD). Defining the contribution of these cells to disease can inform cell-type-specific effects and uncover new disease-modifying therapeutic targets. These cells express integrin (ITG) adhesion receptors that anchor the cells to the extracellular matrix (ECM) to maintain the integrity of the BBB. We used HD patient-derived induced pluripotent stem cell (iPSC) modeling to study the ECM-ITG interface in astrocytes and brain microvascular endothelial cells and found ECM-ITG dysregulation in human iPSC-derived cells that may contribute to the dysfunction of the BBB in HD. This disruption has functional consequences since reducing ITG expression in glia in an HD Drosophila model suppressed disease-associated CNS dysfunction. Since ITGs can be targeted therapeutically and manipulating ITG signaling prevents neurodegeneration in other diseases, defining the role of ITGs in HD may provide a novel strategy of intervention to slow CNS pathophysiology to treat HD.
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- 2023
20. Case Report: Unusual Cause of Fever in Ulcerative Colitis Treated with Infliximab
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Sha,Sumei, Shi,Haitao, Wu,Jie, Zhang,Ming, Qin,Bin, Yang,Longbao, and Liu,Xin
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Journal of Inflammation Research - Abstract
Sumei Sha,1,* Haitao Shi,1,* Jie Wu,2,* Ming Zhang,3 Bin Qin,1 Longbao Yang,1 Xin Liu1 1Department of Gastroenterology, the Second Affiliated Hospital of Xiâan Jiaotong University, Xiâan, Shaanxi, Peopleâs Republic of China; 2Department of Pathology, the Second Affiliated Hospital of Xiâan Jiaotong University, Xiâan, Shaanxi, Peopleâs Republic of China; 3Department of Respiratory, the Second Affiliated Hospital of Xiâan Jiaotong University, Xiâan, Shaanxi, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Xin Liu, Department of Gastroenterology, the Second Affiliated Hospital of Xiâan Jiaotong University, Xiâan, Shaanxi, 710004, Peopleâs Republic of China, Email docliuxin126@xjtu.edu.cnIntroduction: Patients with inflammatory bowel disease are at high risk for opportunistic infections, and fungal infections are relatively uncommon among various infections.Case: This case is the first reported ulcerative colitis accompanied with Cryptococcus neoformans infection after infliximab treatment. In the course of the disease, the patients had a variety of opportunistic infections, including viruses, fungi and bacteria.Conclusion: This case highlights the importance of paying continued attention to opportunistic infections for patients with inflammatory bowel disease.Keywords: ulcerative colitis, Cryptococcus neoformans pneumonia, cytomegalovirus infection, clostridium difficile infection, biological agents, case report
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- 2023
21. Hypoxia-induced transcriptional differences in African and Asian versus European diabetic cybrids
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Dolinko, Andrew H, Chwa, Marilyn, Schneider, Kevin, Singh, Mithalesh K, Atilano, Shari, Wu, Jie, and Kenney, M Cristina
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Adult ,Diabetic Retinopathy ,Multidisciplinary ,Asian ,Fatty Acids ,Diabetes ,Diabetes Mellitus ,Genetics ,Humans ,Black People ,Hypoxia ,Metabolic and endocrine - Abstract
Diabetic retinopathy (DR) is the most common diabetic microvascular complication and cause of blindness in adults under the age of 65. Our results suggest that, when comparing transcriptomes of cultures grown in hypoxic conditions versus room-air, cybrids containing mitochondria from African and Asian diabetic subjects ([Afr + Asi]/DM) have some uniquely different transcriptome profiles compared to European/diabetic (Euro/DM) cybrids (e.g., fatty acid metabolism: EnrichR rank 10 in [Afr + Asi]/DM, rank 85 in Euro/DM; Endocytosis: rank 25 in [Afr + Asi]/DM, rank 5 in Euro/DM; Ubiquitin Mediated Proteolysis: rank 34 in [Afr + Asi]/DM, rank 7 in Euro/DM). As determined by both RNA-seq and qRT-PCR results, transcription of the gene encoding oleoyl-ACP hydrolase (OLAH) was significantly increased in [Afr + Asi]/DM cybrids compared to Euro/DM cybrids in hypoxic conditions. Additionally, our results show that in hypoxic conditions, Euro/DM cybrids and [Afr + Asi]/DM cybrids show similar decreases in ROS production. All cybrids showed decreased ZO1-minus protein levels, but their phagocytic functions were not significantly altered in hypoxic conditions. In conclusion, our findings suggest that the "molecular memory" imparted by [Afr + Asi]/DM mtDNA may act through one of the molecular pathways seen in transcriptome analysis, such as fatty acid metabolism, without significantly changing essential RPE functions.
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- 2023
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22. Visible-light-promoted radical amidoarylation of arylacrylamides towards amidated oxindoles
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Yu-Zhao Wang, Wu-Jie Lin, Hong-Chao Liu, and Wei Yu
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Organic Chemistry - Abstract
A visible-light-promoted radical amidation/cyclization of arylacrylamides was realized by using N-aminopyridinium salts as the source of amidyl radicals. A variety of amide-tethered-oxindoles were prepared in this way in moderate to good yields.
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- 2022
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23. Region Reinforcement Network With Topic Constraint for Image-Text Matching
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Wu Jie, Lu Jing, Chunlei Wu, Leiquan Wang, and Xuerong Cui
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Matching (statistics) ,Modalities ,Computer science ,business.industry ,computer.software_genre ,Image (mathematics) ,Constraint (information theory) ,Media Technology ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Reinforcement ,computer ,Sentence ,Natural language processing ,Theme (narrative) ,Meaning (linguistics) - Abstract
Image and sentence matching has attracted increasing attention since it is associated with two important modalities of vision and language. Previous methods aim to find the latent correspondences between image regions and words by aggregating the similarities of the region-word pairs. However, these approaches consider little about the relationships of diverse regions in the image and treat the similarities of all region-word pairs equally. Moreover, focusing on fine-grained alignment overly, the true meaning of the original image will be likely distorted. In this paper, a novel Region Reinforcement Network with Topic Constraint (RRTC) is proposed to explore the correspondences between images and texts. Specifically, the region reinforcement network is built to infer fine-grained correspondence by considering the relationships of regions and re-assigning region-word similarities. Meanwhile, the topic constraint module is presented to summarize the central theme of images, which constrains the original image deviation. Extensive experimental results on MSCOCO and Flickr30k datasets verify the effectiveness of our proposed RRTC.
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- 2022
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24. Rare spontaneous extensive annular intramural esophageal dissection with endoscopic treatment: A case report
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Hu, Jian-Wen, Zhao, Qian, Hu, Chi-Yv, Wu, Jie, Lv, Xiang-Yin, and Jin, Xiang-Hong
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Esophagectomy ,Rupture ,Case report ,General Medicine ,Esophageal mucosa - Abstract
BACKGROUND Intramural esophageal dissection (IED) is a rare disease that should be considered in patients with chest pain, dysphagia, and hematemesis. Although it occurs most frequently in older adult women with impaired coagulation or as a sequela of endoscopy, the incidence of spontaneous IED without an obvious causative agent has risen gradually. CASE SUMMARY This report describes a case of extensive annular IED in a 75-year-old male patient who presented with dysphagia for the past month. Esophageal barium meal radiography revealed slow passage of diluted iohexol through the esophagus after swallowing, prominent luminal dilation, obstruction of the lower segment with only a small amount of contrast medium entering the gastric cavity, and no obvious extravasation. Gastroscopy revealed smooth esophageal mucosa; several esophageal mucosal bridges and webbed mucosa were observed approximately 22 cm from the incisor. The mucosal surface was occasionally rough and uneven, and the length of the esophageal mucosal defect exceeded 10 cm. The anatomy was considered to be annular because the mucosal bridge connecting the proximal and distal tube was not attached to the surrounding myotubes. The final diagnosis was spontaneous extensive annular IED. We treated the patient successfully using endoscopic esophagotomy, which completely relieved the symptoms without complications. CONCLUSION Spontaneous annular IED can be treated successfully by endoscopic resection of the mucosal septum between the true and false lumen.
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- 2021
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25. Pathologic evaluation of lumpectomy resection margins for invasive breast cancer: a single institution’s experience
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Zhang, Yong, Wu, Jie, Huang, Wei, Wang, Ying, Rivera Galvis, Lidys, Chen, Tiane, and Han, Bing
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Original Article - Abstract
Objectives: Breast conservation therapy (BCT) or lumpectomy followed by radiation has been established as a preferred treatment for most patients with early-stage invasive breast cancer. About 20-40% of patients after initial lumpectomy will have to undergo re-excision due to a positive margin. Methods: To determine the factors predicting higher risk of positive resection margin, we retrospectively analyzed 409 patients who underwent initial lumpectomy for invasive breast cancer from January 2019 through November 2022. Based on microscopic examination, the samples were divided into 3 subgroups with positive, close, or clean margins. Results: Positive margin was more frequently associated with larger tumor size (P
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- 2023
26. Sestrin2 provides cerebral protection through activation of Nrf2 signaling in microglia following subarachnoid hemorrhage
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Yang, Youqing, Ding, Han, Yang, Chenxing, Wu, Jie, Bao, Youyuan, Lan, Shihai, Zhou, Lin, Zhou, Lu, Liu, Bangliang, Hong, Tao, Wan, Xichen, and Wu, Xiao
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Immunology ,Immunology and Allergy - Abstract
Subarachnoid hemorrhage (SAH) is a neurological emergency characterized by dysfunctional inflammatory response. However, no effective therapeutic options have been reported so far. Microglia polarization has been proposed to exert an essential role in modulating inflammatory response after SAH. Sestrin2 is a stress response protein. Growing evidence has reported that sestrin2 could inhibit M1 microglia and promote M2 microglia polarization. The current study investigated the effects of sestrin2 on microglia phenotype switching and the subsequent brain injury and sought to elucidate the underlying mechanism. We conducted an endovascular perforation SAH model in mice. It was found that sestrin2 was significantly increased after SAH and was mainly distributed in neurons and microglia. Exogenous recombinant human sestrin2 (rh-sestrin2) evidently alleviated inflammatory insults and oxidative stress, and improved neurofunction after SAH. Moreover, rh-sestrin2 increased M2-like microglia polarization and suppressed the number of M1-like microglia after SAH. The protection by rh-sestrin2 was correlated with the activation of Nrf2 signaling. Nrf2 inhibition by ML385 abated the cerebroprotective effects of rh-sestrin2 against SAH and further manifested M1 microglia polarization. In conclusion, promoting microglia polarization from the M1 to M2 phenotype and inducing Nrf2 signaling might be the major mechanism by which sestrin2 protects against SAH insults. Sestrin2 might be a new molecular target for treating SAH.
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- 2023
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27. Clinical observation of recombinant human nerve growth factor in the treatment of neurotrophic keratitis
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Hao, Mi, Cheng, Yan, Wu, Jie, Cheng, Yu, and Wang, Jing
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Clinical Research - Abstract
AIM: To characterize changes of corneal nerve morphology and tear indices in patients with neurotrophic keratitis (NK) treated with recombinant human nerve growth factor (rhNGF). METHODS: In a prospective observational study, six patients (nine eyes) were locally treated with rhNGF. Visual acuity, corneal fluorescein staining score, the heights of the tear river, lipid layer thickness (LLT), tear ferning (TF) test, conjunctival impression cytology (CIC) examination, the densities of cornea subbasal nerve fibers were determined before and after treatment. RESULTS: Compared with baseline, there was a significant difference in corneal fluorescence staining scores (P
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- 2023
28. Additional file 1 of A simple and available measurement of onco-sEV dsDNA to protein ratio as a potential tumor marker
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Sun, Yifan, Li, Miao, Zhang, Xiaoshan, Xu, Dongjie, Wu, Jie, Gu, Xinrui, Khan, Adeel, Shen, Han, and Li, Zhiyang
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Supplementary Material 1: Tables 1 and (2) Details of the study subjects. Figure 1. Normal distribution of NPr and dsDPr.
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- 2023
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29. Additional file 1 of Biomedical association analysis between G2/M checkpoint genes and susceptibility to HIV-1 infection and AIDS progression from a northern chinese MSM population
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Wu, Jiawei, Xu, Lidan, Liu, Bangquan, Sun, Wenjing, Hu, Yuanting, Yang, Yi, Guo, Keer, Jia, Xueyuan, Sun, Haiming, Wu, Jie, Huang, Yun, Ji, Wei, Fu, Songbin, Qiao, Yuandong, and Zhang, Xuelong
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Supplementary Material 1: Table S1. Distribution of genotypes of tSNPs in cases and controls
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- 2023
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30. The algebraic stability for persistent Laplacians
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Liu, Jian, Li, Jingyan, and Wu, Jie
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FOS: Mathematics ,Algebraic Topology (math.AT) ,Mathematics - Algebraic Topology - Abstract
The stability of topological persistence is one of the fundamental issues in topological data analysis. Numerous methods have been proposed to address the stability of persistent modules or persistence diagrams. Recently, the concept of persistent Laplacians has emerged as a novel approach to topological persistence, attracting significant attention and finding applications in various fields. In this paper, we investigate the stability of persistent Laplacians. We introduce the notion of ``Laplacian trees'', which captures the collection of persistent Laplacians that persist from a given parameter. To formalize our study, we construct the category of Laplacian trees and establish an algebraic stability theorem for persistent Laplacian trees. Notably, our stability theorem is applied to the real-valued functions on simplicial complexes and digraphs.
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- 2023
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31. sj-docx-1-pie-10.1177_09544089231151536 - Supplemental material for Study on damaged micro-mechanism of pipe wall during braking and anchoring process of pipeline intelligent plugging robot
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Tang, Yang, Minghai, Zhou, Sun, Peng, Wu, Jie, Wang, Qiang, and Wu, Ju
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FOS: Materials engineering ,FOS: Other engineering and technologies ,91299 Materials Engineering not elsewhere classified ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-pie-10.1177_09544089231151536 for Study on damaged micro-mechanism of pipe wall during braking and anchoring process of pipeline intelligent plugging robot by Yang Tang, Zhou Minghai, Peng Sun, Jie Wu, Qiang Wang and Ju Wu in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
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- 2023
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32. Additional file 3 of Biomedical association analysis between G2/M checkpoint genes and susceptibility to HIV-1 infection and AIDS progression from a northern chinese MSM population
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Wu, Jiawei, Xu, Lidan, Liu, Bangquan, Sun, Wenjing, Hu, Yuanting, Yang, Yi, Guo, Keer, Jia, Xueyuan, Sun, Haiming, Wu, Jie, Huang, Yun, Ji, Wei, Fu, Songbin, Qiao, Yuandong, and Zhang, Xuelong
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Supplementary Material 3: Table S3. Association between the 40 tSNPs in 4 genes and AIDS clinical stages
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- 2023
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33. Additional file 2 of Biomedical association analysis between G2/M checkpoint genes and susceptibility to HIV-1 infection and AIDS progression from a northern chinese MSM population
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Wu, Jiawei, Xu, Lidan, Liu, Bangquan, Sun, Wenjing, Hu, Yuanting, Yang, Yi, Guo, Keer, Jia, Xueyuan, Sun, Haiming, Wu, Jie, Huang, Yun, Ji, Wei, Fu, Songbin, Qiao, Yuandong, and Zhang, Xuelong
- Abstract
Supplementary Material 2: Table S2. Distribution of haplotypes of Chk1 and Cdc25C gene in cases and controls
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- 2023
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34. Additional file 3 of Decoding the key compounds and mechanism of Shashen Maidong decoction in the treatment of lung cancer
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Cai, Jieqi, Chen, Yupeng, Wang, Kexin, Li, Yi, Wu, Jie, Yu, Hailang, Li, Qingping, Wu, Qi, Meng, Wei, Wang, Handuo, Lu, Aiping, Huang, Mianbo, Wei, Genxia, and Guan, Daogang
- Abstract
Additional file 3: Additional Figure 1. Construct complex components-targets-pathogenic genes-disease (C-T-P-D) network. Green units represent active components of SMD, blue units represent predicted targets of active components and red units represent predicted pathogenic genes of lung cancer. The gray lines indicate the interactions. Additional Figure 2. Full distribution of KFC targets on merged paths. The red units denote the KFC targeted cross-talk genes shared by multiple pathways, and the red dashed line connects them together in different pathways. The blue units indicate that the KFC targeted genes exist only in one pathway. The white units are annotations or nontargeted proteins.
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- 2023
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35. Subtraction of the foreground confusion and parameter uncertainty of resolvable galactic binaries on the networks of space-based gravitational-wave detectors
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Wu, Jie and Li, Jin
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FOS: Physical sciences ,General Relativity and Quantum Cosmology (gr-qc) ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,General Relativity and Quantum Cosmology - Abstract
There are tens of millions of compact binary systems in the Milky Way, called galactic binaries (GBs), most of which are unresolved, and the Gravitational waves (GWs) emitted overlap to form foreground confusion. By simulating such foreground confusion, we have studied how LISA, Taiji and TianQin, including their alternative orbital configurations, subtract resolvable GBs when they combine as some networks. The results of our research indicate that the order of detected number for a single detector from high to low is: Taiji-m, Taiji-p (c), LISA, TianQin I, TianQin II. For detector combinations on the network, the foreground confusion is effectively reduced as the number of detectors grows, and the optimal combinations with different numbers are: Taiji-m, LISA+Taiji-m, LISA+Taiji-m+TianQin I, and LISA+Taiji-m+TianQin I+II. The sensitivity curve is optimized as the number of detectors increases, which renders it possible to detect other gravitational wave sources more precisely and decrease the resolvable GBs parameter uncertainty. Based on this, we discuss the parameter uncertainty of resolvable GBs detected by the combinations above and find that GW detection can promote electromagnetic (EM) detection. On the contrary, we discovered that by utilizing EM detection, determining the inclination angle can reduce the uncertainty of GW strain amplitude by $\sim$93%, and determining the sky position can reduce the uncertainty of the phase by $\sim$30%, further strengthening the connection between GW detection and EM detection, and contributing to the research of Multi-messenger astronomy., Comment: 13 pages, 8 figures
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- 2023
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36. Characteristic analysis of early gastric cancer after Helicobacter pylori eradication: a multicenter retrospective propensity score-matched study
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Liu, Xinyuan, Wang, Xinyu, Mao, Tao, Yin, Xiaoyan, Wei, Zhi, Fu, Jindong, Wu, Jie, and Li, Xiaoyu
- Abstract
Helicobacter pylori (H. pylori) is recognized as a type I carcinogen in gastric cancer (GC). However, GC still occurs after H. pylori eradication, and its diagnosis is more complicated. This study aimed to summarize the characteristics of early GC (EGC) after H. pylori eradication to help accurately identify EGC and avoid missed diagnosis and misdiagnosis. A total of 81 patients of EGC after H. pylori eradication (Hp-eradicated group), resected by endoscopic submucosal dissection (ESD), and 105 cases of H. pylori infection-related EGC (control group) were assessed. After propensity-score matching, the clinical characteristics, endoscopic manifestations, and histopathological features of the 62 matched patients in each group were analyzed. We also conducted specific analyses in combination with endoscopic and histopathological images. There were more patients in the Hp-eradicated group who received proton pump inhibitor (PPI) for >1 year compared to the control group (p < 0.001). More patients at OLGA stages I-II before the diagnosis of EGC were in the control group (p = 0.045), especially at stage II. The mucosa in the Hp-eradicated group showed more moderate-to-severe atrophy (p = 0.047), map-like redness (p < 0.001) and mild activity (p < 0.001). The predominant histopathological types differed between the two groups (p < 0.001), and the majority of cases in the Hp-eradicated group were high-grade intraepithelial neoplasia (HGIN). Ki-67 expression was lower in the Hp-eradicated group (p = 0.025). But different eradication intervals of H. pylori have little effect on the characteristics of EGC. Furthermore, PPI uses for >1 year (p = 0.005), mucosal map-like redness (p < 0.001), moderate mucosal atrophy (p = 0.017), and mild activity of gastric mucosa (p = 0.005) were independent characteristics of EGC after H. pylori eradication. Our multicenter study revealed that EGC after H. pylori eradication was characterized by long-term PPI use, moderate mucosal atrophy, mucosal map-like redness, the mild activity of gastric mucosa, a higher proportion of HGIN cases, and lower levels of Ki-67. EGC after H. pylori eradication was characterized by long-term PPI use, moderate mucosal atrophy, mucosal map-like redness, mild activity of gastric mucosa, a higher proportion of HGIN cases, and lower levels of Ki-67.H. pylori-positive patients at OLGA stages I-II are also more likely to progress to EGC.According to the current data, different eradication intervals of H. pylori have little effect on the characteristics of EGC. EGC after H. pylori eradication was characterized by long-term PPI use, moderate mucosal atrophy, mucosal map-like redness, mild activity of gastric mucosa, a higher proportion of HGIN cases, and lower levels of Ki-67. H. pylori-positive patients at OLGA stages I-II are also more likely to progress to EGC. According to the current data, different eradication intervals of H. pylori have little effect on the characteristics of EGC.
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- 2023
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37. sj-docx-1-pie-10.1177_09544089231151536 - Supplemental material for Study on damaged micro-mechanism of pipe wall during braking and anchoring process of pipeline intelligent plugging robot
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Tang, Yang, Minghai, Zhou, Sun, Peng, Wu, Jie, Wang, Qiang, and Wu, Ju
- Subjects
FOS: Materials engineering ,FOS: Other engineering and technologies ,91299 Materials Engineering not elsewhere classified ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-pie-10.1177_09544089231151536 for Study on damaged micro-mechanism of pipe wall during braking and anchoring process of pipeline intelligent plugging robot by Yang Tang, Zhou Minghai, Peng Sun, Jie Wu, Qiang Wang and Ju Wu in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
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- 2023
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38. The magnitude homology of a hypergraph
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Bi, Wanying, Li, Jingyan, and Wu, Jie
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FOS: Mathematics ,Algebraic Topology (math.AT) ,Mathematics - Algebraic Topology - Abstract
The magnitude homology, introduced by R. Hepworth and S. Willerton, offers a topological invariant that enables the study of graph properties. Hypergraphs, being a generalization of graphs, serve as popular mathematical models for data with higher-order structures. In this paper, we focus on describing the topological characteristics of hypergraphs by considering their magnitude homology. We begin by examining the distances between hyperedges in a hypergraph and establish the magnitude homology of hypergraphs. Additionally, we explore the relationship between the magnitude and the magnitude homology of hypergraphs. Furthermore, we derive several functorial properties of the magnitude homology for hypergraphs. Lastly, we present the K\"{u}nneth theorem for the simple magnitude homology of hypergraphs.
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- 2023
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39. Evaluating rise rate and magma storage across the Auckland Volcanic Field
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Wu, Jie
- Subjects
Natural hazards ,Volcanology - Abstract
Presentation by University of Auckland Research Assistant, Jie Wu
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- 2023
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40. Additional file 1 of Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs
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Zhuang, Zhanwei, Wu, Jie, Qiu, Yibin, Ruan, Donglin, Ding, Rongrong, Xu, Cineng, Zhou, Shenping, Zhang, Yuling, Liu, Yiyi, Ma, Fucai, Yang, Jifei, Sun, Ying, Zheng, Enqin, Yang, Ming, Cai, Gengyuan, Yang, Jie, and Wu, Zhenfang
- Abstract
Additional file 1: Table S1. Summary statistics of meat quality traits in pigs.
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- 2023
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41. Additional file 1 of Decoding the key compounds and mechanism of Shashen Maidong decoction in the treatment of lung cancer
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Cai, Jieqi, Chen, Yupeng, Wang, Kexin, Li, Yi, Wu, Jie, Yu, Hailang, Li, Qingping, Wu, Qi, Meng, Wei, Wang, Handuo, Lu, Aiping, Huang, Mianbo, Wei, Genxia, and Guan, Daogang
- Abstract
Additional file 1. Supporting Information.
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- 2023
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42. Additional file 4 of Biomedical association analysis between G2/M checkpoint genes and susceptibility to HIV-1 infection and AIDS progression from a northern chinese MSM population
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Wu, Jiawei, Xu, Lidan, Liu, Bangquan, Sun, Wenjing, Hu, Yuanting, Yang, Yi, Guo, Keer, Jia, Xueyuan, Sun, Haiming, Wu, Jie, Huang, Yun, Ji, Wei, Fu, Songbin, Qiao, Yuandong, and Zhang, Xuelong
- Abstract
Supplementary Material 4: Table S4. Association between the tSNPs and HIV-1 infection susceptibility in different subgroups divided by CD4+ T cell counts
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- 2023
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43. Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models
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Chen, Weifeng, Wu, Jie, Xie, Pan, Wu, Hefeng, Li, Jiashi, Xia, Xin, Xiao, Xuefeng, and Lin, Liang
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Artificial Intelligence (cs.AI) ,Computer Science - Artificial Intelligence ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Multimedia ,Machine Learning (cs.LG) ,Multimedia (cs.MM) - Abstract
This paper presents a controllable text-to-video (T2V) diffusion model, named Video-ControlNet, that generates videos conditioned on a sequence of control signals, such as edge or depth maps. Video-ControlNet is built on a pre-trained conditional text-to-image (T2I) diffusion model by incorporating a spatial-temporal self-attention mechanism and trainable temporal layers for efficient cross-frame modeling. A first-frame conditioning strategy is proposed to facilitate the model to generate videos transferred from the image domain as well as arbitrary-length videos in an auto-regressive manner. Moreover, Video-ControlNet employs a novel residual-based noise initialization strategy to introduce motion prior from an input video, producing more coherent videos. With the proposed architecture and strategies, Video-ControlNet can achieve resource-efficient convergence and generate superior quality and consistent videos with fine-grained control. Extensive experiments demonstrate its success in various video generative tasks such as video editing and video style transfer, outperforming previous methods in terms of consistency and quality. Project Page: https://controlavideo.github.io/
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- 2023
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44. The sesquiterpenes with the COVID-19 Mpro inhibitory activity from the Carpesium abrotanoides L
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Fan, Yu-Wen, Ao, Zhuo-Yi, Zhang, Wei-Jie, Chen, Jia-Yan, Lian, Xin, Pan, Yong- Chen, Chen, Li-Ping, Wu, Jie-Wei, and Yuan, Jie
- Abstract
The extract of the whole plant of Carpesium abrotanoides L. yielded four new sesquiterpenes including a novel skeleton (claroguaiane A, 1), two guaianolides (claroguaianes B–C, 2–3), and one eudesmanolide (claroeudesmane A, 4), together with three known sesquiterpenoids (5–7). The structures of the new compounds were elucidated by spectroscopic analysis especially 1D and 2D NMR spectroscopy and HRESIMS data. Additionally, all the isolated compounds were preliminarily evaluated for the inhibitive activity of COVID-19 Mpro. As a result, compound 5 showed moderate activity with an IC50 value of 36.81 μM and compound 6 exhibited a potent inhibitory effect with an IC50 value of 16.58 µM, while other compounds were devoid of noticeable activity (IC50 > 50 μM).
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- 2023
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45. Additional file 3 of Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigs
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Zhuang, Zhanwei, Wu, Jie, Qiu, Yibin, Ruan, Donglin, Ding, Rongrong, Xu, Cineng, Zhou, Shenping, Zhang, Yuling, Liu, Yiyi, Ma, Fucai, Yang, Jifei, Sun, Ying, Zheng, Enqin, Yang, Ming, Cai, Gengyuan, Yang, Jie, and Wu, Zhenfang
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Additional file 3: Table S2. The mean accuracy and bias values of GBLUP for meat quality traits using LD pruned SNPs.
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- 2023
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46. Supplementary document for Compact Wavemeter Incorporating Femtosecond Laser-Induced Surface Nanostructures Enabled by Deep Learning - 6434389.pdf
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Cai, Rui, Xiao, Yao, Sui, Xiaolin, LI, YONGYI, Wu, ZiYan, Wu, jie, Guoliang, Deng, ZHOU, HAO, and Zhou, Shouhuan
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structural diagram ,loss function of the neural network and the time correlation coefficient function
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- 2023
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47. Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
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Zia, Aneeq, Bhattacharyya, Kiran, Liu, Xi, Berniker, Max, Wang, Ziheng, Nespolo, Rogerio, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Liu, Bo, Austin, David, Wang, Yiheng, Futrega, Michal, Puget, Jean-Francois, Li, Zhenqiang, Sato, Yoichi, Fujii, Ryo, Hachiuma, Ryo, Masuda, Mana, Saito, Hideo, Wang, An, Xu, Mengya, Islam, Mobarakol, Bai, Long, Pang, Winnie, Ren, Hongliang, Nwoye, Chinedu, Sestini, Luca, Padoy, Nicolas, Nielsen, Maximilian, Schüttler, Samuel, Sentker, Thilo, Husseini, Hümeyra, Baltruschat, Ivo, Schmitz, Rüdiger, Werner, René, Matsun, Aleksandr, Farooq, Mugariya, Saaed, Numan, Viera, Jose Renato Restom, Yaqub, Mohammad, Getty, Neil, Xia, Fangfang, Zhao, Zixuan, Duan, Xiaotian, Yao, Xing, Lou, Ange, Yang, Hao, Han, Jintong, Noble, Jack, Wu, Jie Ying, Alshirbaji, Tamer Abdulbaki, Jalal, Nour Aldeen, Arabian, Herag, Ding, Ning, Moeller, Knut, Chen, Weiliang, He, Quan, Bilal, Muhammad, Akinosho, Taofeek, Qayyum, Adnan, Caputo, Massimo, Vohra, Hunaid, Loizou, Michael, Ajayi, Anuoluwapo, Berrou, Ilhem, Niyi-Odumosu, Faatihah, Maier-Hein, Lena, Stoyanov, Danail, Speidel, Stefanie, and Jarc, Anthony
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FOS: Computer and information sciences ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition - Abstract
The ability to automatically detect and track surgical instruments in endoscopic videos can enable transformational interventions. Assessing surgical performance and efficiency, identifying skilled tool use and choreography, and planning operational and logistical aspects of OR resources are just a few of the applications that could benefit. Unfortunately, obtaining the annotations needed to train machine learning models to identify and localize surgical tools is a difficult task. Annotating bounding boxes frame-by-frame is tedious and time-consuming, yet large amounts of data with a wide variety of surgical tools and surgeries must be captured for robust training. Moreover, ongoing annotator training is needed to stay up to date with surgical instrument innovation. In robotic-assisted surgery, however, potentially informative data like timestamps of instrument installation and removal can be programmatically harvested. The ability to rely on tool installation data alone would significantly reduce the workload to train robust tool-tracking models. With this motivation in mind we invited the surgical data science community to participate in the challenge, SurgToolLoc 2022. The goal was to leverage tool presence data as weak labels for machine learning models trained to detect tools and localize them in video frames with bounding boxes. We present the results of this challenge along with many of the team's efforts. We conclude by discussing these results in the broader context of machine learning and surgical data science. The training data used for this challenge consisting of 24,695 video clips with tool presence labels is also being released publicly and can be accessed at https://console.cloud.google.com/storage/browser/isi-surgtoolloc-2022.
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- 2023
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48. FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
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Qin, Jie, Wu, Jie, Yan, Pengxiang, Li, Ming, Yuxi, Ren, Xiao, Xuefeng, Wang, Yitong, Wang, Rui, Wen, Shilei, Pan, Xin, and Wang, Xingang
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FOS: Computer and information sciences ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more general-purpose application scenarios. However, existing methods devote to designing specialized architectures or parameters for specific segmentation tasks. These customized design paradigms lead to fragmentation between various segmentation tasks, thus hindering the uniformity of segmentation models. Hence in this paper, we propose FreeSeg, a generic framework to accomplish Unified, Universal and Open-Vocabulary Image Segmentation. FreeSeg optimizes an all-in-one network via one-shot training and employs the same architecture and parameters to handle diverse segmentation tasks seamlessly in the inference procedure. Additionally, adaptive prompt learning facilitates the unified model to capture task-aware and category-sensitive concepts, improving model robustness in multi-task and varied scenarios. Extensive experimental results demonstrate that FreeSeg establishes new state-of-the-art results in performance and generalization on three segmentation tasks, which outperforms the best task-specific architectures by a large margin: 5.5% mIoU on semantic segmentation, 17.6% mAP on instance segmentation, 20.1% PQ on panoptic segmentation for the unseen class on COCO., Comment: Accepted by CVPR 2023; camera-ready version
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- 2023
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49. Persistent hyperdigraph homology and persistent hyperdigraph Laplacians
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Chen, Dong, Liu, Jian, Wu, Jie, and Wei, Guo-Wei
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FOS: Mathematics ,Algebraic Topology (math.AT) ,Mathematics - Algebraic Topology - Abstract
Hypergraphs are useful mathematical models for describing complex relationships among members of a structured graph, while hyperdigraphs serve as a generalization that can encode asymmetric relationships in the data. However, obtaining topological information directly from hyperdigraphs remains a challenge. To address this issue, we introduce hyperdigraph homology in this work. We also propose topological hyperdigraph Laplacians, which can extract both harmonic spectra and non-harmonic spectra from directed and internally organized data. Moreover, we introduce persistent hyperdigraph homology and persistent hyperdigraph Laplacians through filtration, enabling the capture of topological persistence and homotopic shape evolution of directed and structured data across multiple scales. The proposed methods offer new multiscale algebraic topology tools for topological data analysis., Comment: 37 pages, 6 figures, 52 conferences
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- 2023
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50. A Comprehensive Study on Optimizing Systems with Data Processing Units
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Sun, Shangyi, Huang, Chunpu, Zhang, Rui, Chen, Lulu, Huang, Yukai, Yan, Ming, and Wu, Jie
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Computer Science - Networking and Internet Architecture ,Networking and Internet Architecture (cs.NI) ,FOS: Computer and information sciences - Abstract
New hardware, such as SmartNICs, has been released to offload network applications in data centers. Off-path SmartNICs, a type of multi-core SoC SmartNICs, have attracted the attention of many researchers. Unfortunatelly, they lack the fully exploration of off-path SmartNICs. In this paper, we use a BlueField SmartNIC as an example to conduct a systematical study on the advantages and disadvantages of off-path SmartNICs. We make a detailed performance characterization on an off-path SmartNIC including computing power and network communication overhead, and propose the following advices: 1) Directly utilize the specific accelerators on the SmartNIC to offload applications; 2) Offload latency-insensitive background processing to the SmartNIC to reduce the load on the host; 3) Regard the SmartNIC as a new endpoint in the network to expand the computing power and storage resources of the server host; 4) Avoid directly employing the design method for systems based on on-path SmartNICs. We apply these advices to several use cases and show the performance improvements.
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- 2023
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